Welcome to my homepage!
I'm currently a researcher in Applied Mathematics/Machine Learning, working in the Mathematics and Data Science Group, with Prof. David Tewodrose. I recently started this position, and my work will broadly focus on manifold learning.
Previously I was a researcher in geometric statistics at the Institute of Mathematical Stochastics at the University of Göttingen, Germany, where I worked with Prof. Stephan Huckemann, on topics related to smeary Central Limit Theorems on Riemannian manifolds and also on statistics on quotient spaces with singularities.
Before that, I was a lecturer in mathematics at EPITA, an engineering college located near Paris, France, where I taught several undergraduate level courses.
Before joining EPITA in August 2021, I spent several years working as a machine learning scientist in the industry. I also completed a postdoctoral fellowship in computational neuroimaging at INRIA team Aramis, working alongside Stanley DURRLEMAN, and at the University of California, Los Angeles, working with Shantanu JOSHI.
My academic journey began as a PhD student in pure mathematics at Rutgers University, New Brunswick, where I worked under the guidance of professors Feng LUO and Jun HU. There my research focused on differential geometry and low-dimensional topology/Teichmüller theory.