Graduate Student

Marco David

Sorbonne Université, M.Sc. Pure Mathematics (2023)
École Normale Supérieure, M.Sc. Theoretical Physics (2022)
Jacobs University Bremen, B.Sc. Physics (2020)

AWARDS
Studienstiftung des deutschen Volkes (2017-2023) & ERP Fellow (2023-2024)
Paris Graduate School for Mathematical Sciences (2022-2023)
Jugend forscht: Bundessieg (First Prize, German National Science Fair 2018)

INVITED TALKS
Formalisation of Mathematics Seminar, Cambridge, UK (January 2023)
Theoretical Physics Seminar, Uppsala, Sweden (June 2022)...

Krish Desai

I am a PhD candidate in Physics at the University of California, Berkeley. My research focuses on leveraging advanced machine learning techniques, particularly Generative Models, to analyze particle collider data. My research projects, including Moment Unfolding and Infinite Deconvolution, demonstrate the application of these models to complex datasets, advancing our understanding of particle physics and showcasing their broad applicability.

My academic foundation was laid at Yale, where I earned my BS and MS degrees in Mathematics and Physics with Distinction, completing my studies...