Curriculum vitae
Positions
Now
Founding Scientist, Archean
AI-native materials discovery
Now
Associate Researcher, Lawrence Berkeley National Lab
2023–25
Postdoctoral Researcher, UC Berkeley & Berkeley Lab
Bakar Institute of Digital Materials for the Planet fellowship (Yaghi, Persson, Chayes, Borgs groups); generative AI, large language models and foundation models for materials discovery
Research experience
2020–23
PhD Researcher, Sorbonne University & UT Austin
Deep-learning force fields · nuclear quantum effects · many-body dispersion · enhanced sampling · SAMPL challenges
2020
Research Scientist, Sorbonne University
Tinker-HP · multi-GPU deep learning · adaptive sampling · SARS-CoV-2 drug discovery
2019
M.Sc. Thesis, EPFL
Gaussian processes · photo-switchable catalysis
2018
Research Assistant, Vrije Universiteit Amsterdam / SCM
DFT functionals · band-gap prediction · ADF-BAND
2018
Research Assistant, EPFL
DFT+U+V · strongly correlated materials
2018
Research Assistant, PSL University
Ab initio molecular dynamics · surface chemistry
2017
Research Assistant, Institut National Polytechnique
Magnesium oxidation · large-scale ab initio molecular dynamics
Education
2020–23
PhD, Machine Learning & Chemistry, Sorbonne University & UT Austin
European Research Council grant; advisors Jean-Philip Piquemal and Pengyu Ren
2018–19
M.Sc. Computational Science & Chemical Physics, EPFL
2016–19
Engineering Degree, Materials Science, Institut National Polytechnique
Awards & honors
2025
Nature Portfolio’s Nobel Prize in Chemistry 2025 collection
Research featured in the collection celebrating the Nobel Prize awarded to Omar M. Yaghi
2024 & 2025
NERSC GenAI@NERSC Awards
Awarded twice, in 2024 and again in 2025, with Omar Yaghi, for generative-AI models and techniques in materials science
2022
Fulbright Prize
11 laureates per year in France; only theoretician selected in 2022
2022
Hyperion Research HPC Innovation Excellence Award
With Jean-Philip Piquemal et al.
2021–22
Gordon Bell Prize Candidate
Two consecutive years, with Jean-Philip Piquemal et al.
2019
Master Fellowship, Institute of Chemical Sciences & Engineering, EPFL
Awarded for outstanding master students; master thesis with highest honors
2023–27
Peer Reviewer
Referee for Nature, Chemical Science (Royal Society of Chemistry), and NeurIPS 2025 & 2026
Fellowships & visits
2023–
Bakar Fellow
Bakar Institute of Digital Materials for the Planet, UC Berkeley; BIDMaP coordinator/lead
2022
Fulbright Visiting Scholar
University of Texas at Austin (Pengyu Ren group)
Licenses & certifications
2021
École Polytechnique Data Science School
Paris, France
2020