Hi there! I’m a Machine Learning Scientist at Google X Lab (A-Life), working at the intersection of GenAI, foundation models, perturbation modeling, and synthetic biology across scales. I’m an interdisciplinary researcher with experience spanning experimental physics, computational biology, data analysis, modeling, and algorithm development. I earned my MSc in fundamental physics from the École Normale Supérieure (ENS) Paris-Saclay, and completed my PhD in AI & Computational Biology through a joint program between IBM Research Zurich (AI for Scientific Discovery) and ETH Zurich. Through research roles across academia and industry, I’ve built an international, cross-disciplinary perspective.

I’m particularly interested in immune/protein design and perturbation-driven biology, where I combine mechanistic/causal modeling with interpretable deep learning and generative methods, with predictions validated experimentally under assay constraints. In my spare time, I am a writer on Medium, and a Blockchain/Web3 developer. I am also the co-founder of Peer2Panel, a blockchain startup with focus on solar energy.