Structural biologist working on 🖥️ protein design, AI, and #CRISPR-Cas gene editing ✂️🧬 Avid weirdness connoisseur 🎩
Protein and coffee lover, father of two, professor of biophysics and sudo scientist at the Linderstrøm-Lang Centre for Protein Science, University of Copenhagen 🇩🇰
Postdoc @ FCEN UBA w/ @diegulise.bsky.social
& moving soon to @crg.eu w/M. Dias and @jonnyfrazer.bsky.social
> Biological Physics | Proteins | Comp Bio | ML
https://scholar.google.com/citations?user=n55NtEsAAAAJ&hl=en
We are the largest biomedical science hub in the south of Europe, by the beach in Barcelona.
Recerca biomèdica amb vistes |
@researchmar.bsky.social @crg.eu @upf.edu @embl.org @isglobal.org @ibe-barcelona.bsky.social @fpmaragall.bsky.social
Computational biologist @biozentrum.bsky.social. Likes protein structures.
https://ninjani.github.io/
PhD Candidate @Caltech studying ML for protein engineering https://jsunn-y.github.io
Senior Applied Scientist @ MSR // AI, molecular dynamics, protein design, and some sillyness 🧬
(she/her)
💻 We are the Structural Bioinformatics and Computational Biology track of the International Society for Computational Biology (ISCB)
Hola! We are the CRG, a research institute exploring the frontiers of biology in Barcelona. Som un centre CERCA. www.crg.eu
PhD student in Milles Lab | Passionate about protein design | 🥼&💻 | Formerly with Sereina Riniker (MD), Noelia Ferruz (ML), Bruno Correia (Protein Design) & Kai Johnsson (Protein Engineering)
Webpage: https://ldornfeld.github.io/
Principal Scientist & Group Leader at Prescient Design • Genentech. Advisor to Atomic Data Sciences & Guide Labs
ncfrey.github.io
protein geek, founder and CEO of AI Proteins @aiproteins.com
https://linkedin.com/in/cdbahl
Protein Designer | Share Reading Notes (AI+Protein/RNA/DNA)
www.leozang.com
ml eng at dyno therapeutics. i write about bio/ml at http://owlposting.com
I do SciML + open source!
🧪 ML+proteins @ http://Cradle.bio
📚 Neural ODEs: http://arxiv.org/abs/2202.02435
🤖 JAX ecosystem: http://github.com/patrick-kidger
🧑💻 Prev. Google, Oxford
📍 Zürich, Switzerland
Machine learning and biology. Research Scientist at Google DeepMind. adamgayoso.github.io. Views are my own.
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.
MIT PhD Student - ML for biomolecules - https://hannes-stark.com/
Machine learning for biology | Stanford and Arc Institute
MLing biomolecules en route to structural systems biology. Asst Prof of Systems Biology @Columbia. Prev. @Harvard SysBio; @Stanford Genetics, Stats.
