I am an Associate Professor at Paris Cité University, affiliated with the BioSTM Laboratory and the Faculty of Pharmacy. My research focuses on a central challenge in machine learning: how can models adapt reliably when their environment or task changes? Inspired by the brain’s ability to learn and adapt, I investigate this question through domain adaptation and transfer learning. Optimal transport provides a unifying geometric framework for this work, connecting the structure of data distributions with computational methods and theoretical guarantees.

More recently, I have extended this research to the life sciences, where biological variability makes adaptation both challenging and essential. My aim is to develop models that remain informative across changing experimental conditions while helping reveal the structure and complexity of biological processes.