Chile

Constanza Rojas-Molina

Constanza Rojas-Molina

Born in La Serena, Chile • Birth year 1983 Studied Mathematics at Universidad de La Serena in Chile and at Université Pierre et Marie Curie – Paris VI in France • Highest Degree PhD in Mathematical Physics from Université de Cergy-Pontoise, France • Lives in Paris, France • Occupation Lecturer at the CY Cergy Paris University

I was a late starter in maths. As a child, I was always curious and interested in many things, I was an avid reader and spent a considerable amount of time drawing. During highschool, I learnt about physics and chemistry and I was hooked on the quantum world. There, all the intuition was lost and the usual rules of physics didn’t apply anymore, it was fascinating, like Alice in Wonderland! But even then, maths was not among my main interests. I never made a connection with physics or chemistry. I knew it was something useful and necessary to know, but I always kept it at a reasonable distance. You would never see me solving maths exercises for fun. Why would I, when I had a pile of comics and books to read and stories to draw?

I discovered operator and spectral theory, functional analysis and the maths of quantum and statistical mechanics. And it was beautiful.

It was only when I entered university that my view of maths changed. University maths were something completely different. My hometown is a region of Chile known for its clear skies, suitable for observational astronomy. It’s where the first telescopes in Chile were built. So, since I didn’t have the resources to travel to the capital to study, studying physics at the local university seemed like a good fit. With all the innocence that the age of 17 could give me, I thought: if I’ll ever amount to anything, it shouldn’t matter where I start.

So, I decided to stay home and enroll in the local university physics program. The first two years of this program were in common with the maths program, and by studying physics I realized that maths was connected to many things and was very important. So important that at some point after two years I thought: I can’t continue this without having a good understanding of maths (I would have made a terrible physicist). During those two years, I found beauty in the clarity of maths. I got a first glimpse of the elegance of proofs and the usefulness of drawing the picture to go with it. I discovered operator and spectral theory, functional analysis and the maths of quantum and statistical mechanics. And it was beautiful. I was excited to be able to study physics problems from a rigorous and clear point of view.

I went to Paris, without knowing anyone, with no grant and no connections whatsoever.

So excited that I didn’t stop when I finished my undergraduate studies. I went to Paris, without knowing anyone, with no grant and no connections whatsoever. With all the courage that ignorance can give. Ignorance of the country, of the system, of how academia works. That ignorance and the support of my family made me brave enough to cross the ocean looking to satisfy my curiosity.

It’s been many years since that happened. I did my Master’s in Paris and then continued with a PhD in mathematical physics. I successfully applied to a Marie Curie Fellowship of the EU to do a postdoc in Munich. Then I did a postdoc in Bonn. Then I was a Junior Professor in Duesseldorf, I was a DFG (German Research Foundation) grant holder, I supervised students. I still do. Now I’m back to France as a lecturer. I’m also an illustrator and for the past years I’ve been focusing on mathematical communication.

This is my mathematical adventure (…). And I say adventure because this was clearly a detour, as I was supposed to become an illustrator. Now I’m both.

Looking back, I am aware now that I was a total outsider. I made my way through it and became part of the system, taking an unusual path and building my own alternative journey. Academia is tough, it’s elitist, it’s traditionalist, it’s conservative, it’s a lonely place and can lead to a lot of frustration when one does not entirely fit. It’s easy to get lost in the bad thoughts when there is no support for those that don’t follow a straight path. However, I’ve met some wonderful people along the way who helped me build my path, collaborators, and friends, and with them I’ve been able to experience the part of the job that is about connections. Connecting ideas, connecting with colleagues, connecting with students, connecting with people. That is the best side of this job, and I’m grateful for that. This is my mathematical adventure, it has ups and downs and cliffhangers and suspense, and some teary moments and some funny ones. And I say adventure because this was clearly a detour, as I was supposed to become an illustrator. Now I’m both.

I like to remember how my mathematical adventure started, because it helps me feel connected with my most essential motivations. My motivations weren’t to be a tenured professor, or a group leader, or get all the grants. My motivations were to discover and enjoy the act of discovering.

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Karem Guzmán Elgueta

Karem Guzmán Elgueta

Born in Los Vilos, Chile • Birth year 1990 • Studied B. Sc. in Mathematics and ​ B. Sc. in Mathematical Engineering at Universidad de Santiago in Santiago, Chile • Highest degree Master in Statistics • Lives in Santiago, Chile • Occupation Financial Advisory Consultant

My relationship with mathematics began when one day in high school a classmate asked me: “Karem, you are very good at mathematics, have you thought about studying it at university?” I will never forget this question because it was this one that made me aware of my love for mathematics. Since I was little, I had a knack for numbers and the subject always entertained me, so I decided to formally continue studying Mathematical Engineering at University.

During college, mathematics opened a new world, a lot of theory and logic work. It was not easy, including many hours of study and frustrations, and not always achieving good exam results. It was a long and hard road, but with resilience I managed to finish successfully.

I liked the time flexibility these jobs gave me, but they didn’t make me happy, as I felt a sense of intellectual emptiness. This is why I decided to go back to university to pursue a Master’s degree in statistics and you can’t imagine how much I liked it!

After graduating, I worked for two years as a high school teacher and as an assistant professor at the university. I liked the time flexibility these jobs gave me, but they didn’t make me happy, as I felt a sense of intellectual emptiness. This is why I decided to go back to university to pursue a Master’s degree in statistics and you can’t imagine how much I liked it! I was fascinated by the subjects associated with models and their theories (data mining, predictive modeling, supervised and unsupervised learning as well as time series, among other models), so today I am a lover of statistics.

Could you imagine what would happen if one day you make a withdrawal from your card and the bank denies it for not having funds? A systemic shock would surely occur, so these models are essential.

I am currently working for a professional services firm and I have experience in credit risk modeling projects, e.g. provision models under local regulations and International Financial Reporting Standards, countercyclical provision models, forward looking models, management models such as admission, behavior and collection, as well as in liquidity risk projects, e.g. construction of flow projection models/methodologies. Credit risk models, in general, aim to mitigate the risk of non-compliance with contracted payments, so provision models estimate an amount of money that a financial institution could eventually lose if all its customers decide not to pay. Management models, such as admission models, aim to estimate a client’s ability to meet their payment obligations, and thus help the financial institution to select its clients. On the other hand, liquidity risk models seek to ensure sufficient cash flow to comply with all normal operations associated with a financial institution: deposits, drafts, transfers, withdrawals of investment funds, etc. Could you imagine what would happen if one day you make a withdrawal from your card and the bank denies it for not having funds? A systemic shock would surely occur, so these models are essential.

My work is dynamic and very demanding, but I love it because I never do the same thing. There are always new projects and clients to care for, so I enjoy my work every day. I invite all women who like mathematics to dare and study it without fear, and if you also have an inclination for finance, then the world is yours!

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Evelyn Cueva

Evelyn Cueva

Born in Quito, Ecuador • Birth year 1990 • Studied Mathematical Engineering at Escuela Politécnica Nacional in Ecuador • Highest Degree Ph.D. in Mathematical Modelling at Universidad de Chile • Lives in Quito, Ecuador

As a child, I did not dream of being a mathematician or a scientist; there was a total absence of that role model in my environment. My parents worked very hard so that my brothers and I could attend university. We would be the first generation to obtain a Bachelor’s degree. Living in the countryside and being surrounded by animals shaped me to study agronomy or veterinary medicine. However, my ability in mathematics motivated me to explore a career more related to numbers and abstract thinking.

Since I was a primary school kid, I have enjoyed math homework. I liked to think and invent my own problems. In high school, I was more interested in verbal math problems. I liked the process of “translating” these problems into equations. Despite my taste for mathematics, it was not until my last year of high school that I discovered a career opportunity in mathematics while reading the academic offer of a university. I did not know anyone who studied that subject or that there were jobs for mathematicians. My naive idea was that surely a mathematician knows everything about mathematics, and that caught my attention. One of the first options I considered was studying math to be a good math teacher. During my last year of high school I liked teaching math to my classmates. I was motivated by the idea of transmitting knowledge and helping others to look at problems more naturally.

Everything made sense and brought me back to what I enjoyed as a child: real-life problems translated into equations.

Once I enrolled in university, studying mathematics to be a teacher no longer seemed like a good idea. I realized that high school teachers study pedagogy and that was far from my personal interests. After exploring other options within the same university, I hesitated between chemical engineering and mathematical engineering; both attracted me a lot. The chemistry degree had a high component of physics, and I did not like it enough to study it for so long. I decided to follow mathematical engineering, even with many doubts about its usefulness. It was a kind of blind confidence that I would enjoy it very much.

University was challenging; it was a world that I mostly traveled blindly. The most abstract courses were meaningless to me because although they were fascinating and beautiful on their own, I did not know how they could be used in work life. It was only at the end of my studies that everything became a little clearer. When I did my undergraduate thesis, I connected the theory that I had studied with the world of applications. I understood why we need to seek solutions, guarantee their existence, and analyze their regularity. Everything made sense and brought me back to what I enjoyed as a child: real-life problems translated into equations.

I always had a particular interest in photography, but discovering the physical and mathematical models behind acquisition, reconstruction, and post-processing was something I did not want to stop learning about.

I worked on my undergraduate thesis with Juan Carlos De los Reyes, whom I thank for introducing me to the world of images. I always had a particular interest in photography, but discovering the physical and mathematical models behind acquisition, reconstruction, and post-processing was something I did not want to stop learning about. Since I had just found my passion, I opted for a Ph.D. program to learn more about it. I leaned towards the area of inverse problems, and in particular the modeling and reconstruction of images related to biomedicine. I most enjoyed simulating and visualizing ideas after writing them down on paper. 

This Ph.D. brought me extraordinary experiences such as visiting new places, meeting collaborators from other countries, having an excellent scientific community, just to mention a few. However, there were also challenges along my way: living away from my family, adapting to a new culture, not speaking in my native language, and dealing with frustrations and insecurities when things did not go as expected.

I wish that more and more women feel empowered to study engineering or science and do not rule it out as an option based on stereotypes.

A year ago, I finished my Ph.D. in mathematical modeling in Chile. After some post-PhD experiences as a research associate at the academy in Ecuador, my native country, I will start a postdoc at Millennium Nucleus for Applied Control and Inverse Problems in Chile this month. Although I enjoy teaching, I am happy for this new position dedicated more exclusively to do research.

As a woman, I have been able to feel equal within my workgroups. I was always the only woman, but that has never made me feel less worth than any of my male peers. I wish that more and more women feel empowered to study engineering or science and do not rule it out as an option based on stereotypes. Fortunately, nowadays, we can meet more women, we can look at them as our role models, and we can be role models for the next generations.

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Marilyn Gatica Briceño

Marilyn Gatica Briceño

Born in Santiago, Chile Birth year 1987 Studied B. Sc. in Mathematics and ​ B. Sc. in Mathematical Engineering at Universidad de Santiago in Santiago, Chile B. Sc. in Mathematical Engineering lives in Valparaiso, Chile currently a Ph.D. candidate at Universidad de Valparaíso in Chile, and at the University of the Basque Country (UPV/EHU) in Spain

Since the early years of my life, I was interested in maths because I was fascinated with the idea that everything fits. In high school, I studied in a female school and was very interested in sharing with my female classmates the solutions for the mathematical problems. Some girls had innovative ways to approach and solve a problem, and it was inspiring to hear their ideas. I loved the concept of learning and sharing.

My father’s neurologist told me: “we need mathematicians in this area”, and at this point, my journey began. Some years later, I decided to become a mathematical engineer and apply maths in neuroscience.

On the other hand, we have my other interest: neuroscience. My father has a brain tumor, and when I found out, I was intrigued to understand the brain (even though I did not like biology). This idea gathered strength when, in a routine conversation, my father’s neurologist told me: “we need mathematicians in this area”, and at this point, my journey began. Some years later, I decided to become a mathematical engineer and apply maths in neuroscience. Naturally, before starting my studies, I did not know what it meant to study mathematics and how one could apply mathematics in neuroscience.

During the first years of my undergraduate studies, I realized maths was more than calculations, there was so much logic and formalism involved. However, only in the last years of my studies, I could use maths to understand the brain, because at that moment, maths, neuroscience, and of course, computer science finally all came together. I am thankful for having had great professors who introduced me to the computational neuroscience discipline.

During my Ph.D. now, I still enjoy learning new concepts from different scientific areas and sharing research results with other people, like I already did in high school.

I hesitated to continue postgraduate studies, because in Chile there is little financial support from the government in research, and in addition to that, there are not many women working in this field. For these reasons, I worked several years as a research assistant and some months as a project engineer before beginning my postgraduate studies. Currently, I am a Ph.D. candidate in the computational neuroscience area at the Universidad de Valparaíso in Chile, and at the University of the Basque Country (UPV/EHU) in Spain where I am focused on understanding the changes in the lifespan of healthy brains and also on learning about what happens in brains with pathological conditions. Furthermore, in collaboration with other colleagues, I teach introductory classes to computational neuroscience for mathematicians. During my Ph.D. now, I still enjoy learning new concepts from different scientific areas and sharing research results with other people, like I already did in high school. In the next years of my life, I expect to continue with both, research and teaching in this area.

Posted by HMS in Stories