Richard Michael
Postdoc, ML For Protein Design at Novonesis
Copenhagen, Capital Region of Denmark
Summary
👤
Senior🎓
Top SchoolRichard Michael is a postdoctoral researcher and ML-for-protein-design specialist with a decade of experience applying probabilistic machine learning, Bayesian optimization and active learning to biochemical problems. He completed a PhD-funded by DDSA-at the University of Copenhagen and now develops ML-driven protein engineering workflows at Novonesis, combining torch/jax/tf toolchains with Julia and robust data engineering practices. His background in cognitive science and bioinformatics gives him a unique angle on probabilistic modeling and inference, bridging theory and practical lab-facing applications like ligand design. He has industrial experience building production data pipelines and CI/CD for analytics at Banking Circle and Novozymes, and has contributed ML tooling and explainability (SHAP) in protein design contexts. Notably, he blends deep methodological work (Bayesian optimization, scientific ML) with hands-on implementation across research and consulting settings, making him effective at translating complex models into usable experimental decision tools.
10 years of coding experience
4 years of employment as a software developer
International Baccalaureate, International Baccalaureate at The International BaccalaureateMaster of Science - MS, Computational Biology, Master of Science - MS, Computational Biology at Københavns Universitet - University of CopenhagenBachelor of Science (B.Sc.), IMBIT - International Management for Business Information Technology, Bachelor of Science (B.Sc.), IMBIT - International Management for Business Information Technology at DHBW MannheimResearch Assistant in Computational Biology, Research Assistant in Computational Biology at University of TorontoAbitur, Abitur at Bertolt-Brecht-Gymnasium DresdenBachelor of Science - BS, Cognitive Science, Bachelor of Science - BS, Cognitive Science at Universität Osnabrück
German, English, French, Danish
Github Skills (23)
computational-biology8
translation8
benchmark7
speech-synthesis7
protein-design7
natural-language-processing7
forecasting7
computer-vision7
drug-discovery7
forecast7
nlp7
paddlepaddle6
speech-recognition6
bayesian6
deep-learning6
Programming languages (3)
Github contributions (5)
RMichae1/PyroStudies
May 2020 - May 2021
Contributions:13 commits, 17 pushes, 1 branch in 1 year
StatefulMind/methods_of_ai
Jan 2018 - Mar 2018
Contributions:107 pushes in 2 months
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