Aurelien Pelissier

Hi there ! I am a young passionate researcher with experience in various fields, ranging from experimental physics, computational biology, data analysis to modeling and algorithm development. I received my master degree from the École Normale Supérieure (ENS) Paris-Saclay in fundamental physics, and I acquired through my research experiences an interdisciplinary and international academic background. I recently obtained my PhD from IBM Research Zurich in the AI for Scientific Discovery department, in a joint program with ETH Zurich. I am now working as a postdoc at Yale School of Medicine Yale School of Medicine Yale School of Medicine

Machine learning has nowadays become an unavoidable tool for most physicists and biologist, and my interests lie in the application of statistical mathematics and machine learning methods to challenging interdisciplinary problem such as Computational Biology, Bioinformatics, and Quantum Machine Learning. Currently, my work focuses on understanding B cell function in the context of complex diseases, such as cancer and autoimmune diseases. My research integrates both mechanistic and AI models, emphasizing interpretable deep learning methods to uncover the rules behind model predictions.  In my spare time, I am a writer on Medium, and a Blockchain/Web3 developer. I am also the co-founder and CTO of Peer2Panel, a blockchain startup with focus on solar energy.