Thank you to all of my co-authors: especially my co-lead, Ravi Lal, and advisors @yisongyue.bsky.social and @francesarnold.bsky.social!
16.01.2025 18:04 β π 0 π 0 π¬ 0 π 0
x.com
Happy to share that our work on Active Learning-Assisted Directed Evolution is now published in @naturecomms.bsky.social!
Paper: www.nature.com/articles/s41...
Check out the original thread here: x.com/jsunn_y/stat...
16.01.2025 18:04 β π 15 π 3 π¬ 1 π 0
Come visit our CARE benchmarks poster today at 11-2pm! (West Ballroom #5205)
13.12.2024 17:12 β π 4 π 1 π¬ 0 π 0
Iβm at NeurIPS this week presenting two of my recent projects!
Enzyme function classification (CARE) benchmarks: Friday 11-2pm West Ballroom #5205 @caltech.edu
Conditional generation from protein language models (ProCALM): Sunday at MLSB Workshop @Profluent
Please come say hi!
10.12.2024 20:24 β π 16 π 2 π¬ 0 π 2
Discover the Languages of Biology
Build computational models to (help) solve biology? Join us! https://www.deboramarkslab.com
DM or mail me!
PhD student at EPFL working on generative molecular design | Previously Microsoft AI4Science and AstraZeneca
Computer scientist, Bioinformatician, PhD in Chemistry and Molecular Sciences. Working on the above as an Assistant Prof at WUR. Interested in all the sciences. Materialist. Fan of cats, Punk Rock, and Hockey.
Nature Communications is an open access journal publishing high-quality research in all areas of the biological, physical, chemical, clinical, social, and Earth sciences.
www.nature.com/ncomms/
Computational biochemist (ligand binding kinetics, crowding)
Junior group leader at the Technical University Berlin
Associate editor at the Journal of Chemical Information and Modeling
Brazilian in Germany
CEO of FutureHouse, building an AI Scientist
Nanoscience, science, engineering, medicine, science communication, science policy, travel
UCLA prof, husband, father, all comments are my own
Protein Design Scientist @generate_biomed, PhD from Baker and King Labs @UWproteindesign 𧬠π¦ | Semi retired triathlete (she/her)
Our lab uses experimental and computational methods to design de novo proteins | @Stanford
GenAI for proteins @abscibio. Prev. founding team @insitro, @Stanford PhD, and @Yale alumni. π΅π°πΊπΈ
aneeshsathe.com
π§ͺπ§¬π»π€π¬π¦ π©Ίππ
Boeing Endowed Professor in the Allen School of Computer Science & Engineering at the University of Washington. Interested in AI/ML, computational biology, and AI in medicine. https://suinlee.cs.washington.edu/
Faculty fellow at NYU working with @andrewgwils.bsky.social. Statistics & machine learning for proteins, RNA, DNA.
Prev: @jura.bsky.social, PhD with Debora Marks
Website: alannawzadamin.github.io
PhD student at CTU Prague. Working on machine learning for molecule discovery π€π§ͺ