I joined Genentech in June 2023 after completing a PhD in Machine Learning at Sorbonne Université (France). My PhD research focused on improving out-of-distribution generalization of deep learning models in the setting of classification and physical dynamics modeling. Prior to starting my PhD, I worked as a Machine Learning engineer on large-scale prediction models. I hold a Master’s degree in engineering from Mines-Paris and in Machine Learning from ENS Paris-Saclay.
My research focuses on developing machine learning models for Prescient Design’s molecular design framework, covering topics such as out-of-distribution generalization or physics-aware machine learning.