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