About me
I am a Postdoctoral Researcher with a Bakar Institute of Digital Materials for the Planet fellowship at the University of California Berkeley and Berkeley Lab. I am working with Prof. Omar Yaghi Prof. Kristin Persson, Prof. Jennifer Tour Chayes and Prof. Christian Borgs on generative AI (LLM and diffusion models) and universal Machine Learning Potential for material discovery. I did my Ph.D. at Sorbonne University with Prof. Jean-Philip Piquemal, EMC2 ERC fellow, and at University of Texas at Austin with Prof. Pengyu Ren, as Fulbright Visiting Scholar.
My research is focused on using deep learning models, quantum mechanical models, statistical mechanics and high-performance computing to address global challenges. My passion lies in creating interdisciplinary collaborations and developing robust innovative solutions to high-stakes problems such as material discovery for climate change.
I have been involved in numerous international collaborations with academic (e.g UT Austin, Carnegie Mellon University, Kansas University, EPFL, VU Amsterdam) as well as industry partners (e.g Qubit Pharmaceuticals, NVIDIA, AWS).
Research experience
Education
Outside of Sorbonne University I interned at PSL University, CNRS, VU Amsterdam, advised by Prof. Evert Jan Baerends, and EPFL, advised by Prof. Nicola Marzari and Prof. Iurii Timrov, working on the development of novel methodologies to study correlated materials. I also did my Master Thesis at EPFL with Prof. Clémence Corminboeuf where I developed Machine Learning model for photoswitchable catalysts. I was also a Visiting Scholar at the University of Texas at Austin with Prof. Pengyu Ren working on novel neural network-powered force fields for highly accurate biomolecular simulations.
PhD in Machine Learning and Chemistry, 2023
Sorbonne University
M.Sc in Quantum Chemistry, 2019
Ecole Polytechnique Fédérale de Lausanne
Institut National Polytechnique
B.Sc. of Material Science, 2017
Institut National Polytechnique