@yoakiyama.bsky.social
MIT EECS PhD student in solab.org Building ML methods to understand and engineer biology
@mfernandezquintero.bsky.social
Staff Scientist, The Scripps Research Institute, passionate about protein dynamics, protein design, structural biology of glycoproteins and antibodies, enthusiastic about music and 🐰
@tbkwatkins.bsky.social
PGY1 @StanfordPath Physician Scientist Incubator Track | Postdoc @mischellab | visiting scientist @SwantonLab | @UCL_MBPhD alum | @ForbeckForums scholar
@cschneider.bsky.social
@benjamin-mcmaster.bsky.social
DPhil Student at the University of Oxford, interested in computational biology, bioengineering, and machine learning
@kdidi.bsky.social
🧪 Research Scientist @nvidia staring at proteins all-day 🧑💻 Website/Blog: https://kdidi.netlify.app/ 🤖 GitHub: https://github.com/kierandidi 📚 Prev. Cambridge/Heidelberg
@alexr.bsky.social
personalized cancer immunotherapy = genomics + immunology + machine learning + oncology (pirl.unc.edu)
@alissahummer.com
Schmidt Science Fellow | Postdoc @ Stanford | Prev. DPhil @ Oxford || ML for Biomolecular Modeling & Design
@fspoendlin.bsky.social
ML for antibody drug discovery | PhD Student at University of Oxford | Royal Commission 1851 Industrial Fellow
@garrettmm.bsky.social
Physicochemical deep learning, protein-ligand docking and scoring, computer-aided drug discovery and design, cheminformatics. All views my own. @morrislab@fediscience.org 🏳️🌈🇪🇺
@ashleywong.bsky.social
PhD student studying cancer evolution @icr.ac.uk | MBiochem grad @ox.ac.uk
@arxiv-stat-ml.bsky.social
source: https://arxiv.org/rss/stat.ML maintainer: @tmaehara.bsky.social
@natureportfolio.nature.com
Nature Portfolio’s high-quality products and services across the life, physical, chemical and applied sciences is dedicated to serving the scientific community.
@commsbio.nature.com
An open-access @natureportfolio.bsky.social journal publishing high quality primary research, reviews and commentary in all areas of the biological sciences since 2018. https://www.nature.com/commsbio/
@fergusimrie.bsky.social
Florence Nightingale Bicentenary Fellow, Oxford Statistics | Former Postdoc UCLA, DPhil (PhD) Oxford https://fimrie.github.io/
@opig.stats.ox.ac.uk
Research group led by Charlotte Deane, based in the Department of Statistics at the University of Oxford. https://opig.stats.ox.ac.uk/
@claudiaalcar.bsky.social
Protein structure evolution | Royal Society Newton International Fellow at UCL | she/her
@leungmarcus.bsky.social
Head of Product @basecamp-research.bsky.social Protein | AI | Machine Learning | Metagenomics | Microbiome science
@stephanieaw.bsky.social
Computational Structural Biologist Assistant Professor @VanderbiltMPB wankowiczlab.com (she/her) Past: UCSF, Dana-Farber, Broad Institute, UMass Amherst
@martinsteinegger.bsky.social
Developing data intensive computational methods • PI @ Seoul National University 🇰🇷 • #FirstGen • he/him • Hauptschüler
@prescientdesign.bsky.social
A Genentech Accelerator gene.com/prescient https://scholar.google.com/citations?user=HVfvEVoAAAAJ
@odyv.bsky.social
Generative Antibody Design at Oxford | ovavourakis.github.io | 🇬🇧🇩🇪🇬🇷(🇪🇸) he/him
@smkyrle.bsky.social
PhD student @ Oxford | Researching AI for drug discovery in the Oxford Protein Informatics Group
@pdbeurope.bsky.social
Developing macromolecular structure resources and tools for life science. - Founding partner of the wwPDB. - Manage the community-led PDBe-KB resource and the AlphaFold Protein Structure Database, a collaboration with Google DeepMind. - Part of EMBL-EBI
@martinvoegele.bsky.social
Computational Biophysicist, Amateur Photographer, History+Language Nerd. All views my own. Website: https://martinvoegele.github.io/
@rdkit.bsky.social
https://www.rdkit.org https://github.com/rdkit/rdkit
@matteoferla.bsky.social
Cheminformatician/computational-biochemist working on drug discovery (señor postdoc, CMD-PX / OPIG, University of Oxford) ⌬ ⚗️💻 Author of michelanglo.sgc.ox.ac.uk and Fragmenstein
@philbiggin.bsky.social
Computational biochemist, interested in neuronal signalling at the atomic level and computer-aided drug design. All views my own. @bigginlab@fediscience.org @philbiggin@X bigginlab.web.ox.ac.uk
@lucyvost.bsky.social
PhD student @OPIGlets working on ML methods for small molecule drug design
@neuripsconf.bsky.social
The Thirty-Eighth Annual Conference on Neural Information Processing Systems will be held in Vancouver Convention Center, on Tuesday, Dec 10 through Sunday, Dec 15. https://neurips.cc/
@workshopmlsb.bsky.social
Machine Learning in Structural Biology workshop at NeurIPS 2024. Dec 15, mtg rooms 11-12 http://mlsb.io
@bsky.app
official Bluesky account (check username👆) Bugs, feature requests, feedback: support@bsky.app