UK

26
Nov
2025
The Piscopia Initiative & How to Train Your Allies present: What Can You Do?

The Piscopia Initiative & How to Train Your Allies present: What Can You Do?

A practical guide for those wishing to improve gender diversity in mathematical research

by Rosie Evans & Ashleigh Ratcliffe

Rosie Evans and Ashleigh Ratcliffe have written a booklet entitled “What can you do?” which is a practical guide for those wishing to improve gender diversity in the mathematical sciences. It is based on previous events run by The Piscopia Initiative and How to Train your Allies as well as advice from academics across the UK.

Content of the booklet

The booklet offers advice on topics such as effective mentorship, contextualising mathematics courses at undergraduate level and debunking myths about PhD study. The booklet explores how staff and students can support underrepresented genders based on their role and expertise, with the objective to empower those who don’t know how best to help. Each chapter discusses a few themes followed by a space for reflections or a template to fill in. In this blog, we highlight a couple of the chapters and suggest some ways that allies can help within their roles.

Invisible workload

One of the key themes addressed in this booklet is the concept of the “invisible workload” which refers to tasks that are done during a job that are generally classed as “non-promotable”, a term coined by Babcock et al. in their book “The No Club: Putting a stop to women’s dead-end work”. They found that women are more likely to be asked to do service tasks, and have a greater risk to their reputation should they say no. We talk in this chapter about how this applies to those in academia. Tasks like sitting on various panels and committees, having impromptu career chats with students, organising timetabling, often fall on women more heavily. They are tasks that are often worthwhile to the department, and can be time-consuming. However, they are not proportionally accounted for when it comes to progressing your career and can take away valuable time from research.

As a starting point we make a couple of recommendations on raising awareness about the distribution of these tasks. Our suggestions are pitched as individual changes, however this issue is something that needs institutional buy-in to have widespread impact. For example, if women are required to sit on certain committees or interview panels, an ally could complete some of the administrative preparation to reduce the overall time commitment or mental load needed. Furthermore, if a woman is needed, then their role should reflect their specific expertise. The tasks that don’t require specific skills (e.g. writing up meeting notes, booking rooms etc) could be covered by an ally who does not have as many demands on their time.

We noticed when writing this booklet that this “invisible workload” is already present for PhD students. Our community said that they often feel they do a disproportionate amount of (volunteer) service tasks for their universities. We suggest that departments keep track of the service work done by PhD students (talking at careers fairs, being a part of student-staff committees) and consider alternative methods of finding volunteers. For example, a rotating schedule is the fairest way to allocate roles and reduces any unconscious biases sneaking in when asking for volunteers. As an ally, when you need volunteers, we suggest you consider the following: 1) Am I asking the people who I know are most likely to say yes?; 2) Have I asked these people previously?; 3) Is the person I’m asking already committed to other extra-curriculars?

It can be easy to think “they can just say no if they’re busy”, but the research shows that women are less likely to say no and as a PhD student there is the added pressure of fitting into a department where you are the earliest in career stage. The onus should be shifted to the person seeking help rather than on the student to say no.

Contextualising mathematics

We also talk about how lecturers can add context to their modules that will contextualise the way maths has been constructed through history. We spoke to Dr Jamie Mason at Durham University about their experience contextualising their representation theory course last year by providing a brief history when each new mathematician was mentioned. They noted that in representation theory, it was predominantly white, European men who were recorded as making the main advancements and so tried to acknowledge this during the sessions.

“As I progressed through the course, I began to notice that the vast majority of mathematicians were from late 19th or early 20th Century Germany, with a few British or French exceptions. Certainly, they were all men.”

Jamie suggested the following questions to assess your own modules:

  • Are there any patterns in the mathematicians in this area (e.g., are they predominantly one gender)?
  • In the time frame of these mathematical advancements, were particular groups excluded from mathematics?

They suggested that if there was a mathematician from an underrepresented group at the time, to make sure that they are highlighted in lectures. On our webpages, we suggest a few resources that have already been made where you can find key examples to include.

Jamie also said that when introducing mathematicians, they tried to give interesting (or scandalous) facts about them. There’s more to mathematicians than just their work, and so acknowledging their wider life can open up discussions about the ethical considerations of mathematics.

“Adding a contextual narrative will help students realise that the mathematics they learn was not developed in a vacuum, but influenced by the time and place of the society. I hope that this helps them become more conscientious and well-rounded students.”

We provide a template table for lecturers to use to log the mathematicians that are mentioned within their courses, to help them spot patterns and think about how this could be addressed in lectures.

Breaking barriers

Other chapters in the booklet cover things you can do for a student and for a member of staff, with a key theme around career building and navigating a research career.

A key aim of the Piscopia Initiative is to raise awareness of the PhD option for students of a gender minority in the mathematical sciences. A barrier to entry, even with sufficient grades and research interest, is a lack of knowledge as to what a research career looks like. To attempt to fill this gap, Piscopia hosts information events for students to find out these details. Piscopia also hosts PiWORKS, a monthly seminar series aimed at undergraduates and masters students to see different areas of research and showcase the work of women and underrepresented gender researchers, and their routes into research. 

We acknowledge that opportunities can arise due to who you know or are introduced to. Sharing of information, opportunities and networks is invaluable, especially to first generation PhD students and minoritised groups. However, there is a caveat that just because something is aimed at a certain group, it does not mean you should send it to everyone belonging to that group. We suggest that you should send opportunities thoughtfully, especially if you think the person would be a good fit. It’s a great confidence boost for anyone to hear that a colleague thinks they are worthy of some new opportunity or prize, so try to be specific in your recommendations where possible.

We suggest building a spreadsheet of opportunities (not necessarily limited to specific groups, but make note of requirements where necessary), and provide a template to get you started. By building your awareness of opportunities outside of your own field or expertise means that niche grants and opportunities are more likely to reach the researchers that may benefit most from them.

How to access

A downloadable version of the booklet is available on both of our websites (The Piscopia Initiative | How to Train Your Allies), alongside a list of useful related resources and a HTML version of the booklet. Upon request, we can also provide a printable version.

About the initiatives

How to Train your Allies is a group founded in 2022, who create resources to support staff and students to be effective allies within their departments. Their website has materials about how to be an ally on both an individual scale as well as promoting allyship to your institution via an interactive workshop.

Website: https://sites.google.com/view/how-to-train-your-allies
Contact: howtotrainyourallies@gmail.com

The Piscopia Initiative was founded in 2019 and is a nationwide network of women and underrepresented genders with 16 committees at UK universities. Piscopia aims to improve gender diversity in mathematical research by highlighting role models, creating a supportive network to ask questions, encouraging a culture of belonging and hosting events to encourage more women and underrepresented genders to apply for a PhD.

Website: https://piscopia.co.uk/
Contact: piscopiainitiative@gmail.com

About the authors

Rosie Evans is currently a Learner Developer in Maths at Birmingham City University, having not long graduated with her PhD in Applied Mathematics from the University of Birmingham in July this year. Her PhD topic was focused on mathematical biology, specifically using differential equations to model hydrocortisone replacement treatment. Born in Shrewsbury, she first studied her BSc at the University of Exeter before returning back to the midlands for her masters and PhD. She has been an advocate for equality, diversity and inclusion throughout her career, acting as a committee member and then co-lead of the Piscopia Initiative from the years 2021-2024. Alongside this, she co-founded the “How to Train your Allies” group in 2022 during her PhD. Her goal is to help researchers not only understand why the gender gap exists in mathematical research, but to be empowered and equipped to help reduce it.

Ashleigh Ratcliffe is a current final-year PhD student and Graduate Teaching Assistant at the University of Leicester. Her research is in number theory and involves solving Diophantine equations, these are polynomial equations with integer coefficients for which we are trying to find integer solutions. Originally from Leicester, she studied a BSc in Mathematics at the University of Leicester. She is passionate about outreach and inclusion in mathematics and is a co-lead of the Piscopia Initiative and regularly writes for and edits Chalkdust magazine.

References

[1] Evans, Rosie, and Ratcliffe, Ashleigh. What can you do? – A practical guide for those wishing to improve gender diversity in mathematical research [Booklet], 2025. Available at: https://how-to-train-your-allies.github.io/what-can-you-do/ and https://piscopia.co.uk/what-can-you-do/

[2] Babcock, Linda, Brenda Peyser, Lise Vesterlund, and Laurie Weingart. The no club: Putting a stop to women’s dead-end work. Simon and Schuster, 2022.

Published on November 26, 2025.
Credit graphics of the women on the header image: Meg Evans (Instagram: @megserplet_artist)

Posted by HMS in Blog
21
May
2025
Laura Lewis

Laura Lewis

Born in China • Studied mathematics and computer science at California Institute of Technology (Caltech) in USA • Master’s in mathematics from University of Cambridge in UK • Lives in USA • Quantum information student, pursuing PhD at the University of California, Berkeley

Throughout my educational journey meandering through pure math, theoretical computer science, physics, and ultimately arriving in quantum information, I’ve seen that all these fields have deep foundations in mathematics, regardless of their outward label.

Early in life, I was drawn to math for its concreteness. To add two numbers together, there was a fixed set of rules, in contrast to other subjects we learn in elementary school, e.g., spelling which (especially in English) has many arbitrary rules and exceptions.

I was lucky to have a previous college math professor as my high school math teacher. He taught advanced math courses not typically covered in the high school curriculum, e.g., real and complex analysis.

With this initial interest, my experiences during high school solidified it and greatly influenced my academic path. I was lucky to have a previous college math professor as my high school math teacher. He taught advanced math courses not typically covered in the high school curriculum, e.g., real and complex analysis. With this, I was able to get a head start on math and got a glimpse of how it is explored in higher education: less through calculations and numbers, but with proofs.

Another pivotal experience was when I attended a program at the Massachusetts Institute of Technology (MIT) during the summer of my junior year in high school. There, I was challenged with advanced courses and projects but, perhaps most importantly, it was where I was first exposed to quantum mechanics. It immediately fascinated me due to its mystery, where even the first axioms are still debated. This is especially in contrast to other high school physics subjects, e.g., kinematics and electromagnetism, which are taught as having already been solved. This first experience with quantum mechanics planted a seed which would grow in college.

I double majored in pure mathematics and computer science, and as a part of the freshman seminars, one professor mentioned the intersection of these fields with quantum physics: quantum computing. I was fascinated.

When I started my undergraduate degree at the California Institute of Technology (Caltech), I kept in mind my previous exposure to quantum physics and kept my eyes peeled for any interesting opportunities. I double majored in pure mathematics and computer science, and as a part of the freshman seminars, one professor mentioned the intersection of these fields with quantum physics: quantum computing. I was fascinated. This subject would allow me to explore my interdisciplinary interests in math, physics, and computer science, and I thought it was a great fit. That summer, I reached out to the professor and started a project with him on how to efficiently check the correctness of a powerful quantum computation using only your laptop. With this experience, I saw how important a strong mathematical foundation is for this type of research, which focuses on rigorously proving the security of such verification protocols.

It was also at this point in my education where I started to notice the gender imbalance in math and quantum science, where I was the only female pure math major in my year in undergrad. This was not at all specific to Caltech but representative of the field as a whole.

During my undergrad, I also worked on designing machine learning algorithms to predict  ground states. A ground state is the lowest energy state of a system, where one can think of a ball lying at the bottom of a bowl. A good understanding of ground states can provide us with insights into different properties of quantum systems, so this is an important problem in quantum physics. In this project, I was able to leverage my mathematical background in analysis to provide rigorous theoretical proofs on the performance of my algorithms. It was fascinating to see how math could help pave the way for novel scientific exploration in important physics problems. I received the Barry M. Goldwater Scholarship for my research (awarded to undergraduates in the USA for outstanding research), which increased my confidence to pursue the subject further.

It was also at this point in my education where I started to notice the gender imbalance in math and quantum science, where I was the only female pure math major in my year in undergrad. This was not at all specific to Caltech but representative of the field as a whole. I hope that by continuing to pursue a research career, I can inspire other young women to follow their passions and dive into mathematics with confidence.

After college, I pursued two master’s degrees in the UK through a Marshall Scholarship (awarded to recent college graduates from the USA to perform two years of graduate study in the UK). The first was at Cambridge in mathematics, a course which is well-known for offering an extensive array of advanced math classes. The second is a research degree at the University of Edinburgh in computer science, where I am free to explore a research topic of choice. These past two years have allowed me to hone my research interests and learn new mathematical tools to attain these goals. Soon I will start my Ph.D. at University of California, Berkeley, focusing on quantum information, and I’m excited to see where my pursuit of mathematics leads me next in advancing our scientific understanding of the universe.

Published on May 21, 2025.
Photo credit: Daniel Chen

Posted by HMS in Stories
26
Mar
2025
Bindi Brook

Bindi Brook

Born in Nairobi, Kenya • Studied Mathematics at the University of Leeds • Highest Degree PhD in Applied Mathematics from the University of Leeds • Lives in the UK • Occupation Professor of Mathematical Medicine and Biology at the University of Nottingham

When I think back to school days, my sense is that I’ve always enjoyed mathematics. But there is one particular memory that is contrary to that. I was around 10 years old and had been finding most of the “maths” we did quite easy. Then some combination of factors (teacher, specific content) brought a sudden loss of confidence. I could not get my head around what we were being taught and I thought that was it – that I did not like maths anymore. My dad decided I was being silly (thankfully) and worked through some examples with me, every night, for about a week. By the end of it, my temporary lack of confidence had gone and ever since then I have really enjoyed some form of maths (here one can read – NOT pure maths). In fact, whenever I couldn’t make a decision about what I wanted to do next (at the end of A-levels, at the end of my undergraduate degree) I just picked the thing I enjoyed the most (maths and then applied maths) and went with it. I come from a South Asian culture where, if you’re considered “able”, you’re expected to study Medicine. That wasn’t for me – I really did not like remembering lots of facts and much preferred the problem-solving needed for studying maths.

(…) I have started to look into the mechanisms that could lead to a rare lung disease called lymphangioleiomyomatosis (LAM) and Long Covid.

In an interesting twist though, in my research career, I have essentially specialised in applying mathematics to biological and medical problems! My PhD was all about understanding what happens to blood flow in collapsible blood vessels like the giraffe jugular vein. In my postdoc I was investigating how to optimise ventilator settings for patients in ICU and then how to deliver inhaled therapies into the lungs. Since then, my focus has been in trying to understand how diseases like Asthma and other respiratory diseases originate and then progress. This involves incorporating biology and physics into mathematical and computational models, using approaches from different areas of applied maths. More recently I have started to look into the mechanisms that could lead to a rare lung disease called lymphangioleiomyomatosis (LAM) and Long Covid.

Although I am now a Professor and have spent much of my working life in academia, I took a somewhat torturous path getting there and could have picked a different route a number of times. Immediately after my PhD I worked for a credit card company, applying statistical models in a somewhat robotic fashion. There was no problem-solving involved and within 3 months I knew I could not stay and 3 months later started a postdoc in Sheffield. Towards the end of my postdoc I had my first daughter and worked part-time to complete it after which I decided I would just take time out to look after her. Two years later I had my second daughter.

Throughout my career, I have had some fantastic mentors (both women and men) who guided me through some tough times. These included workplace bullying and discrimination (as a woman of colour) and I have had to work hard to overcome these hurdles.

When my second daughter was around 2 years old I was starting to consider alternative careers to academia (I felt I had been out of it too long, hadn’t written up my postdoc work into peer-reviewed papers, etc) when I got a phone call from a previous academic colleague from the University of Nottingham asking if I would be interested in covering his teaching part-time, as he was taking a sabbatical. I took up this offer and continued to teach and work part-time until I felt my daughters were old enough for me to consider getting back into research. I applied for and was awarded a fantastic “return-to-research” Daphne Jackson Fellowship which allowed me to restart my research on a part-time basis and also write up some of my postdoc work. I will be eternally grateful for this opportunity, as it allowed me to start my research in asthma, build up a network of collaborators and eventually my first MRC grant. The other most important thing that made all this possible is my amazing, hugely supportive, parents who helped look after my daughters for many years.

Throughout my career, I have had some fantastic mentors (both women and men) who guided me through some tough times. These included workplace bullying and discrimination (as a woman of colour) and I have had to work hard to overcome these hurdles. Unfortunately, these things still exist. More recently (in my case) these have been more in the form of unconscious bias rather than overt. And significant efforts are being made to address these issues in my School. I try to contribute the best I can with these efforts. Nonetheless, it does mean that I regularly have to sit back and ask if it’s worth it. The answer isn’t an easy “yes”, not just for the above reasons but also because of the way higher education is going these days in terms of massive budget cuts and increased bureaucracy. On the positive side, I work with wonderful friends and colleagues, on worthwhile research problems, and great students.

Published on March 26, 2025.

Posted by HMS in Stories
18
Sep
2024
Uzu Lim

Uzu Lim

Born in Seoul, South Korea • Birth year 1993 • Studied Mathematics at Postech in South Korea • Highest Degree PhD in Mathematics from University of Oxford, UK • Lives in Oxford, UK • Currently a postdoctoral researcher in mathematics at the University of Oxford; soon to start a postdoctoral researcher position in Queen Mary University of London

I am a mathematician working on geometric data analysis, and I am a transgender woman. The interaction of mathematics and gender in my life is non-trivial, and I thought seriously about this for the first time while writing this piece. While my gender identity slowly crystallised over my life, it was only 4 years ago that I declared myself as transgender. Mathematics has been at the centre of my life for a long time, and I mostly regarded it as a genderless activity. However, I’ve recently started recognising the effects of male socialisation in my mathematical practice, and started exploring how my femininity could interact with my mathematical practice.

In the end I got a PhD in mathematics in Oxford, but the voices whispering “I am not enough” never stopped.

I grew up in a fairly typical “Asian male math nerd” culture, although it was one of those turbo-charged versions appearing in science high schools and Olympiads. Born in South Korea, I went to an international boarding school when I was 13, and moved alone to Singapore when I was 15 to attend a prestigious science high school. That was not enough for me, because I constantly complained that this school wasn’t teaching me enough advanced mathematics. In the end I got a PhD in mathematics in Oxford, but the voices whispering “I am not enough” never stopped. I attribute this to the nerd-machismo in male STEM culture, coupled with the distinct Asian workaholism. I could not settle for anything that may actually give comfort and nurture, for once.

With the help of my transgender boyfriend, I reflect that it’s time to stop and look back. I have done enough to show that I am worthy of love. It doesn’t have to be a constant screaming and scaling a higher mountain. I look back at my love of shapes and structures, and I look back at the delicate theorems and programs I sculpted over the course of my mathematical life. I say: I love all of you, and I will care for all of you, because you are a dear part of me. And I do this with a form of feminine, motherly love.

(…) I sense a harsh masculinity in how many scholars think of mathematics.

The heart and soul of mathematics lie in the expanse of the fluid framework of ideas created by people. Important theories are supported by soft intuitions, and the network of deep thinkers brings gradual yet certain progress to mathematics. I sense much femininity in this smoothness of ideas. On the contrary, I sense a harsh masculinity in how many scholars think of mathematics. While learning pure mathematics, there was a persistent self-loathing along the lines of: “You will never dream of staying in academia if you can’t even finish Hartshorne’s Algebraic Geometry.” There’s always a higher tower to climb, and a grander theorem to learn. It reminds me of phallic architectures that trace the city skylines. Mathematics is also often made into a sterilised toolbox that is wiped clean of blood and sweat in the creative process. I performed this sterilisation in writing my doctoral thesis, where the anxiety and obsession in my contrarian approach to geometric data analysis were sanitised before I presented them cleanly in theorems and algorithms. This is good in some sense, but there is a lingering unexplored emotional dimension that could have been shared more deeply with other mathematicians.

So here onwards, I dream of cultivating a more feminine mathematical culture. Partly, that means to be honest with all sorts of emotions that arise from mathematical practice. Even though I see mathematics itself as a genderless activity, the gendered culture brought by mathematicians is real. I dream that mathematicians will someday open up more of our human, emotional elements into research papers and talks. To play my part, I will start to look deeply into my colleagues’ mathematical practices to share our woes, obsessions, hopes and dreams. As I rise higher in the rank, I will have more chances to usher in the strength in emotional openness in supervision, papers, and seminars. Someday we will be climbing the celestial mountains of abstraction as a team, not in the misguided spirit of nerd machismo, but rather in the spirit of nurturing yet powerful femininity.

Published on September 18, 2024.

Posted by HMS in Stories
13
Sep
2023
Robyn Shuttleworth

Robyn Shuttleworth

Born in Melrose, Scotland • Birth year 1993 • Studied Mathematics at University of Dundee, Scotland • Highest Degree Ph.D. in Applied Mathematics • Lives in Redwood City, California • Occupation Scientist II, Altos Labs

I wasn’t very sure what I wanted to study at university when I was in high school, I just knew for sure that I wasn’t finished with education. I really loved mathematics and biology, so it turned into a battle of the sciences. I went to one university visit (the one I happened to attend!) and toured both departments. The head of the math department started his presentation with “…mathematics graduates earn on average 10% more than any other graduate”. This one statement sealed it for me, and I decided to pursue a degree in Applied Mathematics. My reasons for pursuing mathematics came from quite a shallow and impulsive place, but I’ve grown to learn that that’s okay and you can’t always choose what motivates you. Assuming studying mathematics meant I would be working with numbers for the rest of my life, I imagined myself being an accountant or an actuary and I decided to take courses in business and accountancy in my first few years at university. Whilst this was okay, it didn’t enthrall me the way I had hoped. Fortunately, towards the final year of my bachelor’s degree, I joined a team of scientists in developing genetically engineered detection strategies for cystic fibrosis patients (very different from the classes in accountancy I had previously envisioned being my future). I was excited by the ways I could contribute as a mathematician, and it brought me back to my love of biology. Soon after, in my final year of undergrad, I chose my honors project in glioblastoma modeling. I learned so much about tumor growth and treatment strategies, and I knew this was only the beginning of my journey in mathematical biology. So, when the opportunity arose to pursue a Ph.D. in cancer research, I pushed hard for funding, and one month after graduating, I started reading papers for my Ph.D. in multiscale modeling of cancer progression. I developed mathematical models to describe how tumor cells interact with their microenvironment and explored the mechanisms used to invade the surrounding tissue. Throughout my Ph.D. I attended lots of conferences which gave me plenty of opportunity to present my work and I made lots of great connections. Networking with other scientists was one of the best parts of my graduate studies and I still maintain many of these relationships today.

I was excited by the ways I could contribute as a mathematician, and it brought me back to my love of biology.

I found my Ph.D., for the most part, very enjoyable. I loved the challenges that came with researching a new area and the undeniable feeling of success when you got some exciting new results, or you finally managed to debug your code! Alongside this elation, I did find some of my time difficult, but I must admit that those grievances have been mostly forgotten and feel like a distant memory. It was so important to me to have a strong support system, and I cherished my evenings and weekends with family and friends. Taking time for myself and detaching from the research helped keep me sane and motivated throughout my studies.

After three and a half years in my Ph.D., I was ready to move onto the next stage of my career. I set my sights on finding a Postdoc position, with only two stipulations; it had to be in the field of mathematical biology, and it had to be outside of the UK (another example of my unconventional motivation). With this in mind, I found a position at the University of Saskatchewan in the field of Cryobiology. I loved learning new math modeling techniques to apply to cryopreservation processes and I found that I was able to use a lot of my previous knowledge in this field. Although this switch in fields presented me with the challenge of effectively starting over and requiring a ton of reading (and auditing undergrad biology classes!), it was extremely fulfilling to use math models to predict the optimal experimental conditions for successful cryopreservation.

Fast forward three years, and I found myself in a familiar position: loving what I currently do, but ready to explore a new field and further develop my knowledge and skills. I had always envisioned myself in academia, however, through a chance encounter on social media, I came into a position within industry in the field of cellular rejuvenation. I now build mathematical models of cellular reprogramming and rejuvenation processes to help us understand what makes us, and our cells, “healthy”.

I had always envisioned myself in academia, however, through a chance encounter on social media, I came into a position within industry in the field of cellular rejuvenation.

I’ve consistently changed fields throughout my career, and I have learned something different from each of them that I carry with me to the next. The opportunities I have had are some of the most worthwhile and rewarding roles and ones I have immensely enjoyed. Whether I am investigating how tumors grow, finding the optimal way to freeze and store an organ, or helping us age gracefully, I would not wish to be anywhere else but at this forefront of scientific discovery and advancement.

Published on September 13, 2023.

Posted by HMS in Stories
15
Feb
2023
Susan Whitehouse

Susan Whitehouse

Born in London, UK • Birth year 1971 · Studied Maths at University of Warwick in UK • Highest Degree MSc in Maths from Open University • Lives in Potters Bar, UK • Occupation Maths Education Consultant specialising in A-level Maths and Further Maths

I have loved maths since I was a very young child, and from as early as I can remember I always knew that it was the subject that I would pursue. Maths was my refuge from a world that often seemed confusing and difficult; within mathematics I knew that everything would make sense and obey the rules, even if I had not yet understood it!

(…) I struggled to adjust to studying maths at university. It felt very different, both in content and in teaching style, from the maths I had studied at school.

Despite never having had any doubts about my choice of degree, I struggled to adjust to studying maths at university. It felt very different, both in content and in teaching style, from the maths I had studied at school. Women were under-represented at undergraduate level, and even more so at postgraduate level and among the academic staff, and I did not immediately feel I had a place in this new environment. But, despite my doubts, I continued with my course and successfully completed my studies.

After my maths degree I was not sure what path to take, and I did a teacher training year mainly to buy myself some time. But, although I did not enjoy teaching the younger students much, I found that I loved teaching A-level maths and further maths. This was the stage of maths education that I had most enjoyed as a student, and I wanted to convey that enthusiasm to others. I joined the teaching profession as a specialist sixth form maths teacher.

I (…) found that being in the position of a student again made me a better teacher.

I spent 15 years teaching A-level maths and further maths in London sixth form colleges. I loved watching the “Eureka” moments, when a mathematical idea would fall into place for a student, and it was a great privilege to be able to help students access university, particularly when they were the first in their family to do so. I developed clear ideas about mathematical pedagogy and what I believe good maths teaching should look like.

During my second and third years of full-time teaching, I also completed a part-time Master’s degree in mathematics with the Open University. Although I was finding teaching mathematics very fulfilling, I missed the challenge of learning new mathematics for myself. Partly because of the way the course was structured and partly because of my own greater maturity, I enjoyed this course more than my undergraduate degree. I also found that being in the position of a student again made me a better teacher.

I feel incredibly lucky to have a career working in the subject that I love, and to have had the opportunity to convey that passion to others.

Whilst teaching, I designed a lot of resources to help me in my own teaching, and when I shared these more widely in the teaching community, they proved popular with other teachers too. I was also invited to deliver some professional development for other maths teachers. I realised that I could contribute to the mathematical development of more students by working with their teachers than I could ever do through my own classroom teaching.

I started to do less work with students and more with teachers, and eventually I left the classroom altogether to become a mathematics education consultant. I continue to design teaching resources for A-level maths and further maths lessons, and I have delivered professional development on a wide range of teaching courses, ranging from initial teacher training to courses for experienced teachers.

I feel incredibly lucky to have a career working in the subject that I love, and to have had the opportunity to convey that passion to others.

Published on February 15, 2023.

Posted by HMS in Stories
18
Jan
2023
Nicola Richmond

Nicola Richmond

Born in UK • Studied Mathematics and Computer Science in Edinburgh, UK • Highest Degree PhD in Algebra and Algebraic Geometry • Lives in London, UK • Occupation VP of AI

As a child, I enjoyed solving logic puzzles and spent a lot of time teaching myself BASIC on a Commodore VIC-20 that my dad had given to my brother for Christmas – my brother wasn’t remotely interested in the computer – I was obsessed by it!

My love for the problem-solving aspects of mathematics was solidified at school. I was lucky to have amazing mathematics teachers who made my learning journey both interesting and enriching. After regularly getting decent marks in school tests, I realised that I also had an aptitude for the subject and specialised early on by taking double mathematics A’ Levels.

(…) The inherent precision and rigour in mathematics helps keep my wandering mind constrained!

I went on to study mathematics as an undergraduate at Edinburgh. While there, I gravitated to pure mathematics – I love the logical nature of abstract mathematics and how concepts and rules can be linked together to develop new ideas and prove theorems – the inherent precision and rigour in mathematics helps keep my wandering mind constrained! I intended to pursue an academic career in mathematics, but with permanent academic positions in short supply, I settled on IT as a sensible Plan B and stayed on at Edinburgh to take an MSc in computer science. After that, I headed to Leeds to study for a PhD in representation theory of finite-dimensional algebras; and this was the end of my pure mathematics adventure – a career involving computing beckoned!

Looking back, there were several junctions along the road where I could have taken a different direction. The first was leaving my IT consultancy role to join Unilever on a two year contract. This introduced me to the world of chemoinformatics which I could link to mathematics by considering molecules as graphs of atoms connected by bonds. When my contract at Unilever came to an end, and with no sign of the recruitment freeze lifting, I decided to go to Sheffield as a post-doctoral researcher to work on developing a (commercialised) approach to facilitate computer-aided drug design.

Just over a decade was in the computational chemistry department, developing methods to find small molecules with medicinal properties.

Following the post-doc, I spent 18 years at GSK. Just over a decade was in the computational chemistry department, developing methods to find small molecules with medicinal properties. I then made an internal move to focus on bringing novel data analytics methods into GSK. This GSK chapter exposed me initially to the world of deep learning and its application to computer vision, and then later to new drug modalities, like antibodies, when I was responsible for a portfolio of digital, data and analytics projects.

The final four-year leg of my GSK journey I spent in the newly-formed AI/ML organisation. There, I learned the virtues of good engineering best practice and agile development, which was excellent preparation for my current role as VP of AI at BenevolentAI. I was also put in charge of building and leading the GSK.ai Fellowship Programme, which ignited a passion for developing, mentoring and nurturing junior staff members.

While I no longer have the opportunity to indulge in pure mathematics, mathematics is omnipresent in what I do.

Now at BenevolentAI, I focus on the company AI strategy and our centre of functional excellence in AI. While I no longer have the opportunity to indulge in pure mathematics, mathematics is omnipresent in what I do. I spend a lot of time reading the AI literature, which really combines probability theory, statistics, linear algebra, calculus and optimisation, and thinking about how we can leverage AI to accelerate drug discovery.

Young students often struggle to visualise how the study of mathematics may translate into practice. Many believe they’ll end up being a banker, an accountant or a mathematics teacher (which are of course worthwhile professions). I never really planned my career-journey, I did what felt right at the time, and I would never have imagined that I’d end up using my skill-set to find life-changing medicines for patients. So here’s my advice: we’re living in challenging economic times, so be flexible and responsive – seek out and embrace new opportunities that play to your strengths; and most importantly, follow your passion for mathematics – it can take you anywhere!

Published on January 18, 2023.

Posted by HMS in Stories
05
Oct
2022
Amanda Minter

Amanda Minter

Born in UK • Studied Mathematics at Lancaster University in Lancaster, UK • Highest Degree PhD in Infectious Disease Modelling • Lives in UK • Occupation Director of Equations of Disease C.I.C.

Growing up, universities were always a bit of a mystery to me, my parents didn’t go to university. But I was encouraged by my parents and schoolteachers that going to university would be the path for me. I thought that going to university and studying would help me change the world for the better. I enjoyed maths from a young age, it was a subject which came naturally to me. I found the lessons easy, but then at university, studying maths, I struggled.

Whether it was the format of lectures or the more abstract topics, the subject I loved didn’t come naturally anymore. I worried that I had reached my limit in my understanding of mathematics. After a few disappointing grades, I knew something would have to change if I was going to get a good degree. I had to do something different – I had to learn differently. 

I knew with enough time I could figure out most things – or know when it was taking me too long and I should ask for help!

I wasn’t used to having to put effort into learning maths, but now I would attend classes, then practice, read several books, find examples online, until I understood the concept. In those years at university, I learnt how to learn. And it paid off, not just at university, but further down the line as well.

I stayed at my university to do an MSc in Statistics. Although I loved group theory, I wanted to work on something more applied.  Following my MSc, I started a PhD in infectious disease modelling. Studying for a PhD was all about learning new things, and now I had learned how to learn. I knew with enough time I could figure out most things – or know when it was taking me too long and I should ask for help!

In universities I had been aware of being a first-generation university goer and of not having been to private school, and also of being White.

After my PhD, I stayed at university to do research applying mathematics to the problems of global health, but I found myself becoming disillusioned with academia. As a postdoctoral researcher I worked on some amazing mathematical problems and with some great scientists modelling infectious diseases. But I found myself reflecting on my place in global health research. In universities I had been aware of being a first-generation university goer and of not having been to private school, and also of being White. But I never really thought about what it meant to be White, British, and working in global health. 

My definition of success has changed a lot from starting at university and wanting to change the world with maths.

I was motivated to work in infectious disease modelling to use maths for good, but in my role as a postdoctoral researcher I felt I was not helping to support the decolonisation of global health. I decided to leave academia to set up the social enterprise I run now. I aim to create accessible training opportunities for learners in the Global South.

My definition of success has changed a lot from starting at university and wanting to change the world with maths. And to the aspiring mathematicians, the struggling ‘not a mathematicians’: know that the path to success is not linear, or even constant, but something which keeps changing the more you learn.

Published on October 5, 2022.

Posted by HMS in Stories
22
Jun
2022
Karrie Liu

Karrie Liu

Born in Hong Kong • Studied Mathematics at University of York, UK • Highest Degree MSc in Applied Mathematics • Lives in London, UK • Occupation Freelance Mathematician / Founder of an analytical advisory company

Growing up in two distinct family cultures (Chinese parents in Hong Kong and “adoptive” English parents in the UK), I noticed that girls weren’t often encouraged in the same way that boys were. Many Asian parents would prefer that their daughters marry and focus on family rather than pursuing studies in higher education. Due to this, I wish to be a role model to younger generations, especially girls, so that they may be inspired and have the courage to follow their dreams. My ultimate goal is to improve the world through maths, data science and technology. Hence, that is why I set up an analytical consultancy company called the analytical advisory company Hypatia Analytics Ltd in 2019, which allowed me to spend more time on different types of charity work.

My ultimate goal is to improve the world through maths, data science and technology.

Since graduating from university, I have been applying my skills to continuously show people how they can use mathematics in healthcare and life sciences. During my tenure at the National Health Service (NHS), I participated in several diversity and equality projects. The NHS lacks information on ethnicity and I noticed that researchers had to use the general label “South Asian Name programme” to gather more details. I headlined a project discovering whether extra details can improve the name-test accuracy and to carry out diagnostics tests using patients’ self-reported ethnicity as the standard compared to test results. The outcome has been widely adopted in the Bradford/Leicester council area, improving NHS data and enabling valuable insights for local health economics planning.

Since data science is a relatively new type of career, many people haven’t yet fully understood why it is needed and how to apply it in the real world. Education is the key for people who want to be specialized professionals, but they also need to make the field accessible to the general population. My role as a trustee at The Institute of Mathematics and its Applications (IMA) allowed me to chair three national conferences to showcase how mathematics can be used with data science and helping others to get more help from the industry. 

My company [..] acts as an analytical advisor for charities providing statistical support for clean water programmes, using data science and technology to improve design and optimise resources needed to implement systems.

Skill-based volunteering is also very close to my heart; with my company Hypatia Analytics Ltd I have had the opportunity to voluntarily lead tech and maths projects engaging with the public and different charity organisations. Hypatia Analytics Ltd acts as an analytical advisor for charities providing statistical support for clean water programmes, using data science and technology to improve design and optimise resources needed to implement systems. The charity’s aim is for people’s lives to improve from having clean water close to their home. Hence, more children have time to attend school and the prevalence of illnesses is decreased.

In the summer of 2021, Hypatia Analytics Ltd in partnership with a charity promoting mathematics set up a Math & Data Summer programme called “Discover Data”. This program is a series of introductory workshops on how applied mathematics with real-world evidence can be used to address the world’s problems to students aged 14-17. However, the program  did not stop there, it had set up a monthly meeting to teach more, and we are now planning Summer 2022 face-to-face workshop.

I believe data and mathematics are at the heart of better decision-making and hope that people can benefit from it.

Published on June 22, 2022.

Posted by HMS in Stories
08
Jun
2022
Susan Okereke

Susan Okereke

Born in Liverpool, UK • Studied Mathematics and Business Studies at the University of Edinburgh, UK • Highest Degree Master’s in Teaching (MTeach) from the UCL Institute of Education, UK • Lives in London, UK • Occupation maths teacher, maths communicator and education consultant

I love teaching maths! I am a maths communicator and teacher and I passionately believe that numeracy is an essential basic skill that everyone should have – like reading and writing – and every student should leave school competent and confident in it. Sadly, I am aware this is not the case for many students in the UK and I am trying to use my expertise and experience to help improve this situation.

I began to understand the importance maths education plays in society and realised that maths teachers have a crucial role in making the world a fairer place

As a teacher, I have a keen interest in teaching and learning. I believe that teachers should be model learners, so a few years ago, I decided to do a Master’s in Teaching (MTeach) at the UCL Institute of Education. The Master’s looked at what is needed for ‘effective’ learning to take place, exploring the complex relationship between learner, teacher and their environment. It opened my eyes to how education can transform people’s lives, especially maths education. I began to understand the importance maths education plays in society and realised that maths teachers have a crucial role in making the world a fairer place, with recent data by the Organisation for Economic Co-operation and Development (OECD) showing a direct relationship between wage distribution and numeracy skills.

My Master’s dissertation analysed the effectiveness of a targeted maths intervention on students’ attainment and reflected on the challenges secondary schools face when implementing interventions. Working on my dissertation clarified the fact that I want to use my expertise to bridge the gap between primary, secondary and further education maths learning, supporting all students to feel confident in maths, especially our most disadvantaged students. I believe the key to bridging this gap is to ensure all students have solid basic maths skills and a positive attitude to maths and this starts with good maths teaching.

Completing my Master’s ignited my interest in finding ways to present maths that are accessible and engaging for everyone, especially people who find it challenging. My work as a maths communicator is an extension of this mission.

Maths has a reputation for being boring, difficult and irrelevant to people’s lives and many people are intimidated by the subject because they believe ‘you are either right or wrong’ and that is all that matters. I’m on a mission to challenge this common misconception. Maths is so much more than the final correct answer, it is about seeing patterns, making connections and solving problems, which is an emotional and collaborative process and can be a lot of fun.

Completing my Master’s ignited my interest in finding ways to present maths that are accessible and engaging for everyone, especially people who find it challenging. My work as a maths communicator is an extension of this mission. Over the years I have been involved in a variety of amazing maths events and projects for students, teachers and the general public. Events that strive to bring maths to life for audiences by highlighting the weird and wonderful places maths can be found, which I share on my blog www.DoTheMathsThing.com. Also, the podcast Maths Appeal I co-host with TV personality and fellow maths teacher, Bobby Seagull, presents maths in an accessible way by including maths puzzles and interviews with maths champions from the worlds of tech, entertainment, comedy and education.

Engaging in this range of maths-based endeavours has made me realise I am on a lifelong learning journey with maths education and I hope to take my students, listeners and readers with me as I try to show that maths is everywhere and for everyone.

Published on June 8, 2022.

Posted by HMS in Stories
25
May
2022
Claudia Garetto

Claudia Garetto

Born in Asti, Italy • Studies Mathematics at Torino University, Italy • Highest Degree PhD in Mathematics • Lives in London, UK • Occupation Reader in Mathematics at Queen Mary University of London

My love for Mathematics started at an early age. I remember one day in scuola media (middle school in Italy) when my maths teacher sketched the graph of a function on the blackboard. She was explaining linear motion and I was blown away. I saw how maths relates to real life and how beautiful it is to explain maths, which is often considered a difficult topic, to others. I just wanted to be like her: a mathematician solving equations and sketching graphs on a blackboard, and this is exactly what I do now. It has been extremely important for me to see women do the job I am doing now. In Italy it is quite common for girls to study mathematics at university and to have women maths teachers in school: growing up I never thought that maths was a “boy” subject. Later, when I moved to Austria for my PhD studies and then to the UK for my first permanent academic position, I realised how lucky I had been.

Equality, Diversity and Inclusion (EDI) activities are becoming more and more important (I am the EDI lead in my school), so I hope the gender gap will become smaller and smaller in the future but there is still a long way to go…

In both of these countries, women are a minority in STEM and it is unfortunately still common to have almost no women professors in many maths departments. Consequently, it is still a struggle to motivate the best women maths students to take the academic route. Equality, Diversity and Inclusion (EDI) activities are becoming more and more important (I am the EDI lead in my school), so I hope the gender gap will become smaller and smaller in the future but there is still a long way to go…

As an undergraduate at Torino University I loved Mathematical Analysis. I found the formalism of pure mathematics beautiful and reassuring and I got more and more attracted to the idea of proving my own theorem, of constructing my own mathematical theory. That’s how my original plan of becoming a maths secondary school teacher changed into becoming a researcher and to establish myself as an academic.

Every move has meant for me to grow as a mathematician but more importantly as a person. I have learnt to be resilient but also to be flexible, adaptable, and open-minded.

I apparently had a very straightforward career path: PhD, postdoc, permanent position. However, I changed countries twice. In 2002 I moved from Italy to Austria to conclude my PhD studies. After 8 years at Innsbruck University, I moved to Imperial College London as a Junior Research Fellow and in 2012 at Loughborough University as a Lecturer. I have recently moved to Queen Mary University of London where I am currently working on the analysis of hyperbolic equations and systems with multiplicities: an extremely fascinating area of mathematics. Every move has meant for me to grow as a mathematician but more importantly as a person. I have learnt to be resilient but also to be flexible, adaptable, and open-minded. These are in my opinion extremely important qualities in any social and work environment.

I often talk to girls of school age approaching the university world of mathematics. My only advice to them is to follow their passion. If you are passionate about maths nothing will stop you! It will not always be easy. Failure is normal but with your dedication and the support of the right people (colleagues, supervisor, mentor) you will overcome every obstacle.

Published on May 25, 2022.

Posted by HMS in Stories
11
May
2022
Evi Papadaki

Evi Papadaki

Born in Crete, Greece • Birth year 1992 • Studied Mathematics at National and Kapodistrian University of Athens in Greece • Highest Degree MSc in Mathematics and Its Applications at University of Crete in Greece • Lives in Norwich, UK • Occupation PhD researcher in Mathematics Education at the University of East Anglia, UK

Either by chance or by choice, I always found maths attractive. My mum is a maths teacher, her sisters, too. So, I was regularly in the middle of casual maths conversations growing up. I was observing my mum teaching sometimes, and I was reading her maths books when I was bored. One of the advantages I had as a child was seeing my mum preparing for her lessons and devoting herself to solving problems, struggling, spending time on them, discussing methods and solutions with her sisters. I never found maths easy, but I knew that dedicating time was part of what made it meaningful, and I was up for it.

I remember when I was about 9 years old, I told my dad that I wanted to become an astrophysicist. He was very excited trying to explain ‘the plan’ to me: I had to finish school and study physics, then I should do a masters and a PhD in Astrophysics. I was shocked by the amount of work that I had to do and that was the moment I decided to become a maths teacher. As naive as it sounds, I thought I was doing well at maths already so I could teach others (!).  Yet here I am, 20 years later and having realised the complexity of the work, doing a PhD trying to understand how a teacher can talk to her students about mathematics.

I felt like I always knew about the Pythagorean Theorem. Before I even knew how to read or write, I could quote it without knowing what that means. I learnt how to use it in secondary school. I learnt what it means in high school and a teacher told us that it has over 300 different proofs.

I started thinking about the possibility of studying for a PhD in Mathematics Education in my final year as an undergraduate. I found it fascinating how all the things I’ve learnt throughout the years connected with each other as a gigantic 3D jigsaw puzzle. For example, I felt like I always knew about the Pythagorean Theorem. Before I even knew how to read or write, I could quote it without knowing what that means. I learnt how to use it in secondary school. I learnt what it means in high school and a teacher told us that it has over 300 different proofs. I learnt a couple of the proofs at university. Finally, I learnt that it can be generalised with other shapes and in more dimensions from a video on YouTube.

For me mathematics was never just a subject in school. It was a process of discovery inside and outside of the classroom and I wanted to study if there was a way to spark the curiosity of my students beyond the boundaries of a curriculum or programme of study.

I met people who thought teaching mathematics is purely applied pedagogy and disregarded my mathematical abilities because of that. I met people that thought I was wasting my potential as a mathematician. […] None of them is true!

When I decided that I wanted to follow a career in Mathematics Education research, I had the full support of my family, my friends and my mentors. Nonetheless, I had to fight a few stereotypes on the way. I met people who thought teaching mathematics is purely applied pedagogy and disregarded my mathematical abilities because of that. I met people that thought I was wasting my potential as a mathematician. I also met people that assumed that I am doing a quantitative study as I must be good in statistics. None of them is true! I am doing a qualitative study of how a teacher can talk to her students about mathematics in ways that are not anticipated in a typical mathematics lesson. For my project, I need to unpack the mathematical meaning of the conversations that take place between teachers and students. So, I challenge what I know about mathematics almost every day and I have learnt a lot more than I ever thought I would. Moreover, I am working at the student services of my University helping students with their maths, so I have the chance to expand my horizons in the variety of applications of mathematics making my interest in teaching and learning mathematics in ways that could aid students in different aspects of their personal and professional life even greater.

Looking back, I am grateful that those comments didn’t bring me down.

Published on May 11, 2022.

Posted by HMS in Stories