Jacques Boitreaud

Co-Founder at Chai Discovery

San Francisco, California, United States
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Summary

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Jacques Boitreaud is a Co-Founder and AI-for-drug-discovery specialist based in San Francisco with eight years of experience at the intersection of machine learning, chemistry, and biology. He led and scaled Aqemia’s AI team to deliver structure-based small molecule design and implemented generative models for molecule generation and optimization applied directly to drug discovery programs. His academic background from École Polytechnique and an MS from McGill underpins a research-driven approach, including award-winning internships in generative models for drug design. Formerly a paramedics team leader, he brings operational discipline and crisis-tested leadership to fast-moving biotech startups. Now leading Chai Discovery, he combines hands-on model building with cross-disciplinary collaboration to translate AI innovations into therapeutic candidates.
code8 years of coding experience
job3 years of employment as a software developer
bookComputer Science Biology Applied Mathematics, Computer Science Biology Applied Mathematics at École Polytechnique
bookPCSI - PC*, PCSI - PC* at Lycée Sainte-Geneviève
bookMaster of Science - MS Computer Science, Master of Science - MS Computer Science at McGill University
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Github Skills (16)

python-scripts10
python5
aws5
huggingface5
machine-learning4
bioinformatics4
pytorch4
sagemaker4
tensorflow4
amazon-sagemaker3
machine-learning-models3
mxnet2
textual1
chemistry1
graph1

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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jacquesboitreaud/rna_ne

Nov 2019 - Apr 2020

Contributions:267 commits, 116 pushes, 1 branch in 5 months
jacquesboitreaud/OptiMol

Dec 2019 - Sep 2020

Optimization of binding affinities in chemical space for drug discovery
Contributions:453 commits, 2 PRs, 417 pushes in 9 months
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