PhD candidate studying cancer evolution @icr.ac.uk | MBiochem grad @ox.ac.uk | she/her
ML for antibody drug discovery | PhD Student at University of Oxford | Royal Commission 1851 Industrial Fellow
Physicochemical deep learning, protein-ligand docking and scoring, computer-aided drug discovery and design, cheminformatics. All views my own. @morrislab@fediscience.org 🏳️🌈🇪🇺
Schmidt Science Fellow | Postdoc @ Stanford | Prev. DPhil @ Oxford || ML for Biomolecular Modeling & Design
Assistant Professor at Stanford Statistics and Stanford Data Science | Previously postdoc at UW Institute for Protein Design and Columbia. PhD from MIT.
Prescient Design, Genentech | Formerly OPIG, University of Oxford.
MLxBio @vant_ai. Previously, research @Twitter and FabulaAI (acquired by Twitter). PhD in Graph ML at @imperialcollege and @Cambridge_Uni alumnus
CompBio PhD student investigating all things AMR in M. tb/ E. coli 🧬 @ox.ac.uk @fowlerlab.org 💊 | https://www.vbrunner.me 🌐 | MSc @ethzurich.bsky.social
PhD student @ Oxford | Researching AI for drug discovery in the Oxford Protein Informatics Group
Professor of Chemistry and Computer Science
University of Toronto
Faculty member, Vector Institute
Director, Acceleration Consortium
Senior Director of Quantum Chemistry NVIDIA
My views expressed here are personal and are not those of my employers.
Associate Prof | AI for drug discovery | Eindhoven University of Technology | Previously ETH Zurich & UniMiB | she/her 🏳️🌈
Computational biologist @biozentrum.bsky.social. Likes protein structures.
https://ninjani.github.io/
Medicinal chemist / chemical biologist, author of “In the Pipeline” at http://science.org/blogs/pipeline. derekb.lowe@gmail.com and on Signal at Dblowe.18
All opinions are mine; I don’t speak for my employer in any way.
Cheminformatician/computational-biochemist working on drug discovery (señor postdoc, CMD-PX / OPIG, University of Oxford)
⌬ ⚗️💻
Author of michelanglo.sgc.ox.ac.uk and Fragmenstein
PhD student at University of Oxford (Manolopoulos group)
Research group led by Charlotte Deane, based in the Department of Statistics at the University of Oxford.
https://opig.stats.ox.ac.uk/
Generative models for chemistry and materials science
Currently PhD student at ETH Zürich
Previously Dunia, MIT, EPFL, RWTH Aachen
