Our lab uses experimental and computational methods to design de novo proteins | @Stanford
A Genentech Accelerator
gene.com/prescient
https://scholar.google.com/citations?user=HVfvEVoAAAAJ
Discover the Languages of Biology
Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com
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Machine learning for biology | Stanford and Arc Institute
Johns Hopkins Chemical & Biomolecular Engineering Professor, Co-Director of RosettaCommons, protein engineer, Baltimore resident, father of two. he/him
PhD candidate at MIT CSAIL. Generative models, protein design.
Ex: DeepMind, Microsoft, Instagram, Johns Hopkins University.
Website: https://people.csail.mit.edu/jyim/
X: https://x.com/json_yim
Rosetta Commons is the central hub for hundreds of developers and scientists from ~100 universities and laboratories to contribute and share the Rosetta source code.
Rosetta Commons members develop software improvements to solve their unique queries.
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
CS PhD Student at UC Berkeley & AI for drug discovery at Prescient Design 🇨🇦
Digests proteins. High-throughput protein biophysics and design, Northwestern University. www.rocklinlab.org
Scientist, Assistant Professor at MIT biology, #FirstGen
Principal Scientist & Group Leader at Prescient Design • Genentech. Advisor to Atomic Data Sciences & Guide Labs
ncfrey.github.io
Principal Researcher in BioML at Microsoft Research. He/him/他. 🇹🇼 yangkky.github.io
PhD Student @ UC San Diego | ML for Protein Design, Bio Language, Synthetic Bio | Neuro + ML Alum @ CMU
