Welcome to my homepage!
I'm currently a postdoctoral researcher in Applied Mathematics/Machine Learning, working in the Mathematics and Data Science Group at the Vrije Universiteit Brussel, with Prof. David Tewodrose. My position here focuses on learning on singular spaces, more particularly, Graph Laplace and related operators on certain singular spaces, the singularity being context-specific.
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/data scientist in the industry. Before that, I completed a two one year postdoctoral fellowships in computational neuroimaging/applied mathematics at INRIA team Aramis, 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.