Jean-baptiste Schiratti
Lead Research Scientist And People Manager at Owkin
Paris, Ile-de-France
Summary
👤
Senior🎓
Top SchoolJean-Baptiste Schiratti is a lead research scientist and people manager with nine years of experience translating advanced math and statistical learning into medical AI products. Trained at Ecole Polytechnique and Paris-Saclay with a PhD on spatio-temporal disease progression models, he has published at NeurIPS and JMLR and won awards for work that blends Riemannian geometry with computational statistics. After transitioning from academic neuroimaging and EEG seizure detection research (including an open-source MNE-features library) to industry, he has driven ML and deep learning efforts at Mensia, BioSerenity and Owkin. At Owkin he has grown and led large medical imaging teams and now leads frontier research applying generative AI and LLMs to understand and simulate immune responses for better detection and treatment of immune-related diseases. He combines hands-on algorithm development with hiring, team building and product-focused R&D, often operating at the intersection of research rigor and regulatory-grade medical device constraints. A not-so-obvious strength is his sustained ability to move ideas across academia and industry, producing both open-source tooling and clinical-facing algorithms.
9 years of coding experience
2 years of employment as a software developer
Master's degree Mathematics for Life Sciences (Master MathSV) Mathematics, Master's degree Mathematics for Life Sciences (Master MathSV) Mathematics at Paris-Sud University (Paris XI)
Italian, English
Github Skills (134)
python10
seq10
infrastructure10
deep-learning10
transcriptomics10
scikit10
pandas10
statistics10
ai10
rna-seq10
differential-expression10
lightning10
artificial-intelligence10
data-science10
neuroscience10
Programming languages (4)
Github contributions (5)
jbschiratti/pytorch-lightning
Apr 2020 - Jul 2021
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
Contributions:34 pushes, 6 branches in 1 year 3 months
pytorchpythonboilerplatedata-sciencedeep-learning
jbschiratti/mne-features
Mar 2018 - Nov 2021
MNE-Features software for extracting features from multivariate time series
Contributions:5 PRs, 122 pushes, 39 branches in 3 years 8 months
time-series-analysismultivariate-time-seriesmneextracting-featuresmultivariate
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