Neuroscience

Flavia H. Santos

Flavia H. Santos

Born in Brazil • Studied Psychology and Neuroscience • PhD in Science • Lives in the United Kingdom • Director of the Music and Math Cognition Lab at University College London, Institute of Education, and Member of the UNESCO Inclusive Policy Lab

As a multiethnic and multilingual woman in cognitive and developmental neuroscience, I have often found it difficult to be encapsulated by stereotypes. I have studied and worked in environments where ethnic imbalances persisted. I often wish I had encountered role models who looked like me in such spaces, although I remain grateful to everyone who inspired and supported me in many ways throughout my journey.

During my residency in neuropaediatrics and PhD in the Faculty of Medicine at the Federal University of São Paulo, I developed a strong interest in translational and experimental approaches, focusing on human cognition and neurodevelopmental conditions. In my PhD I examined working memory in children with congenital encephalopathies using neuroimaging and behavioural tasks to understand brain plasticity patterns.

(…) I have developed experimental interventions such as musical training, digital games, and safe, non-invasive brain stimulation aimed at enhancing learning processes in children who experience difficulties in mathematics

Years later, my research interests shifted towards mathematical cognition, brain mechanisms, and developmental dyscalculia, prompted by noticing a benefit in maths performance in a study conducted by one of my undergraduate students on children’s musicalisation. Since then, integrating neuroscience, psychology, and education has been central to my work, enabling me to examine how mathematical skills develop and how learning can be optimised through evidence-based approaches. For instance, in collaboration with colleagues and students, I have developed experimental interventions such as musical training, digital games, and safe, non-invasive brain stimulation aimed at enhancing learning processes in children who experience difficulties in mathematics.

My career trajectory has been more spiral than linear, spanning positions in Brazil, Portugal, Spain, and Ireland. Working in diverse academic environments has been enriching, fostering malleability, exchange, and awareness of cultural nuances. I am currently in my third academic tenured post. Although each move represented advancement, it often required restarting at a lower rank. Within the status quo, I reflect on the importance of empowering academics to recognise the value of their contributions and to negotiate their working contracts.

My vision is to develop tailored interventions for low-achieving learners, examining neural mechanisms of individual differences in maths attainment and the role of social factors in development and compensatory strategies

Despite personal and professional challenges, my outputs include several edited books and numerous co-authored articles with international collaborators, using diverse methods and samples. Alongside extending my music science research, I aim to build an interdisciplinary team using cognitive, affective, and behavioural neuroscience to address real-world challenges in mathematical cognition across the lifespan. My vision is to develop tailored interventions for low-achieving learners, examining neural mechanisms of individual differences in maths attainment and the role of social factors in development and compensatory strategies. Crucially, interventions must be multilayered; without engaging students, teachers, parents, and policymakers, meaningful improvements in mathematics education are unlikely.

Mathematics has offered many rewarding and memorable moments. One particularly humbling experience occurred at an event organised by the Institute of Physics of the United Kingdom and Ireland, where, during parallel sessions, a physicist cancelled her presentation to attend my talk on mathematics anxiety, enabling a shared discussion across STEM and social science fields. Another honour was being featured in Irish Maths Wall Calendar (2016–2024), published by the Annals of Irish Mathematics and Mathematicians, alongside outstanding contributors to the field.

Most projects I have led or co-led focus on improving mathematics education, supported by the Irish Research Council, the Leverhulme Trust, and Erasmus+. The Arithmós Project, for example, produced resources including a cartoon video, teacher workshops, a digital game intervention, and policy briefs. This work led to my participation in Games for Change, organised by UNESCO and hosted at Rubika in India, where I highlighted the importance of multilayered approaches in game-based learning and the need for collaboration between game developers and cognitive researchers to produce sound content for mathematics education.

I believe careers in neuroscience should be accessible and attainable; most pathways still favour elites and do not globally capitalise on talents

At UCL, I contribute to research and teaching in cognitive and developmental neuroscience. I also serve as an Athena Swan representative, supporting gender equality in academia. I collaborate internationally across East Asia, Europe, and more recently Africa, and support students in developing rigorous, globally relevant research.

I believe careers in neuroscience should be accessible and attainable; most pathways still favour elites and do not globally capitalise on talents. That is why I led initiatives such as Brain and Maths in Ibero América, which freely boosted the visibility of Latin American researchers. I also engaged with mentorship programmes such as Black in Neuro, ALBA Network, and Society for the Improvement of Psychological Sciences, as early career researchers benefit from role models. Furthermore, I have served a two-year term as Chair of the Mathematical Cognition and Learning Society, fostering an inclusive international community of more than 400 researchers grounded in integrity, open science, and pipeline knowledge.

Looking back, I would encourage my younger self to seek advice more often; mentorship helps you to skip unnecessary steps. I would again embrace translational research and remain open to combining different professionals and interests, such as music and maths, as many meaningful advances in my work have emerged from bridging fields. I aspire to build a legacy through a meaningful academic career, contribute to the science of learning, and support and inspire students, particularly those who may not see themselves represented in academia.

Published on September 2, 2026.

Posted by HMS in Stories
Jamie Prezioso

Jamie Prezioso

Born in Warren, Ohio, United State • Birth year 1989 • Studied Applied Mathematics at Case Western Reserve University, Cleveland, Ohio, United States • Lives in Washington, D.C. United States • currently a Research Scientist

Growing up, I genuinely enjoyed math from an early age. I have fond memories of solving equations and homemade arithmetic flash cards with my grandfather. He consistently and lovingly encouraged me to pursue math. And so, I did.

I had an inclination that studying mathematics would open an array of opportunities, however, I had no tangible examples of this. Nevertheless, I was drawn to pursue math.

I happily studied and excelled in mathematics throughout middle and high school. When choosing a major in college, I did not even consider math. Having never seen or learned about modern-day mathematicians in school or media, I was unaware of this entire profession. Since I was also interested in medicine, I considered studying biology. I knew of clear academic and career paths in the medical field. Ultimately, my first year in college I was undecided. I had an inclination that studying mathematics would open an array of opportunities, however, I had no tangible examples of this. Nevertheless, I was drawn to pursue math. And so, I did.

I began to discover the ways you could use mathematics to solve problems I found interesting and important, like quantifying the effects of climate change or modeling predator-prey dynamics in fragile ecosystems. I graduated from Walsh University with a Bachelor’s of Science in Mathematics. When applying for graduate programs, I had every intention of obtaining a Master’s degree in a few years and leaving the program for industry. The thought of being in school for nearly all of my twenties seemed unbearable, if not impossible. I did not want to wait for my professional career, and in some sense my “adult” personal life, to begin. Still, I was excited to pursue math. And so, I did.

Through coursework and research, I found I was truly passionate about math. I developed strong quantitative modeling and coding skills. I even got to study areas of biology and medicine.

In the Fall of 2012, I began graduate school at Case Western Reserve University. I studied applied mathematics, taught Calculus to bright undergraduates and conducted research in mathematics and computational neuroscience. It was in graduate school where I grew both personally and professionally. I had many wonderful experiences with brilliant mathematicians from all over the world, many of whom I am still close with today. Through coursework and research, I found I was truly passionate about math. I developed strong quantitative modeling and coding skills. I even got to study areas of biology and medicine. I gained confidence in myself and a deeper understanding of mathematics. And so, I obtained a PhD in Applied Mathematics.

I use my background in mathematics to research machine learning (ML) and artificial intelligence (AI) models […]

Now, I am an Applied Mathematician. I am a Research Scientist at a consulting firm in the Washington, D.C. area. I use my background in mathematics to research machine learning (ML) and artificial intelligence (AI) models, focusing on interpretability and explainability. While AI/ML models have proven extremely useful on a variety of tasks, their inherent black-box nature and lack of interpretability limits their use in critical applications, like medicine or autonomous driving. Specifically, I research and develop neural networks, mathematical models which are typically highly over-parameterized but have exhibited superior performance on high dimensional data (e.g. images), trying to better understand how these models make predictions, assess their confidence and incorporate prior expert knowledge.

I feel very fortunate to have a career which aligns with my field of study and allows me to work on problems I am passionate and excited about. I hope that my story, and the stories of the other women here, highlight the vast number of exciting opportunities and careers in mathematics, the careers that I was unaware of for so long.

Published on April 21, 2021.

Posted by HMS in Stories