Thomas Pierrot
Head Of AI at Stealth AI Startup
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolThomas Pierrot is a Head of AI and Ph.D. in Artificial Intelligence who builds and leads teams developing large-scale foundation models for genomics, transcriptomics and clinical data. Over eight years he scaled genomics AI research from early-stage work in Paris to a distributed research organization across New York, London and Paris within InstaDeep and the BioNTech group, contributing to mRNA cancer vaccine programs and Nature-family publications. His technical breadth spans deep learning, generative models, reinforcement learning and high-performance computing, with a track record of turning research prototypes into production-capable systems. Now leading AI efforts at a stealth startup focused on cancer, he combines strategic roadmap setting with hands-on model development and distributed systems design. Fluent in both European and US research ecosystems, he’s notable for shepherding cross-continental teams and aligning foundational research to therapeutic use cases.
8 years of coding experience
1 year of employment as a software developer
Master of Science Aerospace Engineering, Master of Science Aerospace Engineering at Imperial College LondonMPSI - MP*, MPSI - MP* at Lycée KléberPh.D Computer Science, Ph.D Computer Science at Pierre and Marie Curie UniversityMaster of Science Data Science et Mathématiques Appliquées, Master of Science Data Science et Mathématiques Appliquées at ISAE-SUPAERO
French, English, German
Github Skills (31)
predict10
neuroevolution10
reinforcement-learning10
genomics10
pytorch9
python9
machine-learning9
natural-language-processing9
bioinformatics9
deep-learning9
automatic-differentiation9
proteins9
speech-recognition9
nlp9
transformer9
Programming languages (1)
Github contributions (5)
SupaeroDataScience/RLchallenge
Jan 2018 - Jan 2018
RL class' challenge files
Contributions:17 commits, 5 PRs, 2 comments in 1 day
pytorchreinforcement-learningmachine-learning
ranzenTom/natural_gradient
Apr 2018 - Sep 2018
Contributions:156 pushes, 4 branches in 5 months
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