optimization, inverse problems, also proteins. ml at escalante. formerly: atomicai, xgenomes, broad, berkeley.
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Group Leader at the Institute of Organic Chemistry and Biochemistry (IOCB Prague @iocbprague.bsky.social). Plant biochemistry, metabolomics, genomics, bioML, etc. https://www.pluskal-lab.org
Computational protein engineering & synthetic biochemistry at Takeda
Opinions my own
https://linktr.ee/ddelalamo
Scientist, Assistant Professor at MIT biology, #FirstGen
Assistant Professor at the University of Zurich.
🖥️ protein design, machine learning🤖, crystallography💎, cryoEM🔬. Avid weirdness connoisseur 🎩
Bioinformatics Scientist / Next Generation Sequencing, Single Cell and Spatial Biology, Next Generation Proteomics, Liquid Biopsy, SynBio, AI/ML in biotech // http://albertvilella.substack.com
AI for drug discovery at Isomorphic Labs. Prev: PhD @ UC Berkeley | 🇨🇦
DeepMind Professor of AI @Oxford
Scientific Director @Aithyra
Chief Scientist @VantAI
ML Lead @ProjectCETI
geometric deep learning, graph neural networks, generative models, molecular design, proteins, bio AI, 🐎 🎶
Proteins, LLMs, Profluent
🏳️🌈 NVIDIA & Duke. Was Allianz, VantAI, TUM. BioCS+ML dude.
Lab page: https://machine.learning.bio
GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ
AI for biology | Stanford and Arc Institute
Curious about human ways of thinking.
🎓️ LLM researcher and lecturer at Charles University, Prague.
👉️ https://zdenekkasner.cz