Aurelien Pelissier
ML Scientist Google X Lab - Synthetic Biology at X, The Moonshot Factory
Mountain View, California, United States
Summary
👤
Senior🎓
Top SchoolAurelien Pelissier is an interdisciplinary ML scientist at Google X’s A-Life lab, focused on integrating generative and foundation models with mechanistic and causal approaches to accelerate design–build–test–learn cycles in synthetic biology for at-scale biomanufacturing. With eight years of experience spanning IBM research, Yale postdoctoral work on multimodal immune models, and applied spectroscopy and physics early in his career, he brings a rare blend of physics-first rigor and modern ML for biological design. He has led teams to top placements in antibody design challenges and developed joint structure–sequence embeddings and graph neural approaches for protein and immune modeling. As a founder and CTO he also builds Web3 products for real-world assets on Ethereum, signaling practical product instincts alongside deep research. Based in Mountain View, he combines cross-disciplinary technical leadership with hands-on engineering in GenAI, protein/immune modeling, and biomanufacturing optimization. An uncommon strength is his ability to translate low-level physical and experimental insights into scalable ML models that recommend genetic edits and optimize growth conditions.
8 years of coding experience
1 year of employment as a software developer
Bachelor and Master's degree Fundamental physics, Bachelor and Master's degree Fundamental physics at ENS Paris-SaclayMaster's degree Quantum Physics - Nanotechnology, Master's degree Quantum Physics - Nanotechnology at Université Grenoble AlpesVisiting International Research Student Physics - Ultrafast Spectroscopy, Visiting International Research Student Physics - Ultrafast Spectroscopy at The University of British ColumbiaPhD AI & Computational Biology, PhD AI & Computational Biology at ETH Zürich
Stackoverflow
1reputation
0reached
2answers
0questions
Github Skills (19)
truffle6
tsne6
python6
solidity6
pickle6
dimensionality-reduction4
embedding4
visualization3
machine-learning3
multicore3
parallel2
inference1
analytics1
microsoft1
extensible1
Programming languages (3)
Github contributions (5)
Aurelien-Pelissier/Medium
Feb 2022 - May 2022
Contributions:106 commits, 144 pushes, 1 branch in 3 months
Aurelien-Pelissier/IBMQ-Quantum-Programming
Nov 2017 - Sep 2022
Implementation of some famous quantum algorithms with the IBM QISKit development kit - Bell's state - Shor's Algorithm
Contributions:282 commits, 226 pushes, 1 branch in 4 years 11 months
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