Bio

I am a researcher working at the intersection of statistics and machine learning. I enjoy exploring mathematical ideas to find new ways to understand, represent, and learn from complex data. My current work focuses particularly on kernel methods and generative modelling. I have also worked on optimal transport, statistics on manifolds, and high-dimensional inference, as well as some applied problems.

I am currently a postdoctoral researcher at EPFL. In Fall 2025, I was a visiting postdoctoral researcher at Columbia University, hosted by Bodhisattva Sen. Previously, I was a visiting student at UC Berkeley in Fall 2023. I obtained my PhD in Statistics from EPFL in 2024, under the supervision of Victor Panaretos.