Konstantin Hemker
Scientific Lead, Life Sciences at OpenAI
London, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolKonstantin Hemker is a Scientific Lead in Life Sciences at OpenAI with seven years of experience at the intersection of AI, computational biology, and drug discovery. He combines a deep academic footing as a PhD candidate in Computer Science (with visiting work at Harvard Medical School) and advanced degrees from Cambridge and Imperial with hands-on industry impact at BCG Gamma, Flagship Pioneering, and Creator Fund. His work has spanned ML-driven optimisation of pharmaceutical yields, explainable AI tooling (co-authoring BCG’s open-source Facet library), and computational nanoparticle design for drug delivery in Molly Stevens’ lab. Comfortable bridging research and product, he has advised deep-tech startups and led scientific teams within investment and R&D environments. Known for translating rigorous computational methods into applied biodiscovery platforms, he brings a rare blend of academic depth and startup/consulting velocity.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at University of CambridgeMaster of Science - MSc Computer Science, Master of Science - MSc Computer Science at Imperial College LondonPhD Student (Visiting) Computational Biology, PhD Student (Visiting) Computational Biology at Harvard Medical SchoolLondon School of Economics and Political Science
German, English, French
Github Skills (23)
simulation10
representation-learning10
spatial-transcriptomics10
statistics10
cross-validation10
hyperparameter-tuning10
data-science9
parallelization9
data-analytics9
python9
pandas-dataframe9
machine-learning9
ai8
multimodal8
visualization8
Programming languages (4)
Github contributions (5)
konst-int-i/healnet
Dec 2023 - Apr 2025
Multimodal fusion for heterogeneous biomedical data. NeurIPS 2024.
Contributions:1 release, 8 PRs, 32 pushes in 1 year 4 months
multimodalcomputational-pathologymachine-learningrepresentation-learning
konst-int-i/konst-int-i
Nov 2022 - Jan 2026
Contributions:8 pushes, 1 branch in 3 years 2 months
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