ML Scientist Google X Lab Synthetic Biology at X, The Moonshot Factory
Mountain View, California, United States
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Summary
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Senior
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Top School
Aurelien 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
Normalien Civil Servant, Quantum Systems, Normalien Civil Servant, Quantum Systems at ENS Paris-Saclay
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
qiskitquantum-algorithms
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