Nicholas Larus-Stone

PhD @ Cambridge in AI for Bio | Interested in generative modelling for drug discovery and science policy 🇬🇧 Website: cch1999.github.io Blog: harrisbio.substack.com Database: harrisbio.notion.site

CS PhD student NCI & UMD

Senior lecturer in Computational Biophysics @ University of Edinburgh molecular simulations, machine learning and baking enthusiasts. Occasional mathematics outreach

Core Investigator @ Arc Institute | Associate Professor @ UCSF | {Computational, Systems, Cancer, RNA} biologist | Co-founder @exaibio @vevo_ai

Assistant Professor at UC Berkeley and UCSF. Machine Learning and AI for Healthcare. https://alaalab.berkeley.edu/

Encode AI for Science Fellow (Pillar VC / Imperial College London) Protein Design, PhD in machine learning for structural biology at UCL

Developing ML methods for Drug Discovery @ Novartis 🧬💻 | prev: PhD student @ University of Edinburgh with Toni Mey

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

PhD student @EPFL 🇨🇭 ML & computational biology 🤖🧬⚛️

Professor in bioinformatics, Stockholm University. Protein structure lover ( interactions predictions, evolution ..). Using machine learning as a part of AI for Sciences for halv my life. In addition to succén, I sometimes rants about sailing or skiing.

Computational biophysicist, et al. Opinions expressed are my own. Also @giorginolab@mstdn.science on Mastodon.

Systems immunologist at Yale, @yalecsei.bsky.social‬, @czbiohub.bsky.social‬ Me: https://medicine.yale.edu/profile/john-tsang/ Lab: https://www.tsanglab.org Center: https://medicine.yale.edu/systems-engineering-immunology/

Science is the best use of ML

PhD Student @CMUPittCompBio.bsky.social / @SCSatCMU.bsky.social Interested in ML for science/Compuational drug discovery/AI-assisted scientific discovery 🤞 from 🇱🇰🫶 https://ramith.fyi

Senior Chemøinformatician at Merck | Postdoc@Broad Institute of MIT and Harvard, Cambridge(MA) | PhD@University of Cambridge(UK) | AI, Image Analysis, bioML, -omics data, and Cell Painting for drug discovery. srijitseal.com/tools

Data Scientist Generative AI @BayerCropScience. ML for Plant Biology. PhD @IowaStateUniversity https://www.linkedin.com/in/koushik-nagasubramanian/

Theoretical Physics, RNA, Condensates, Evolutionary Biology, Machine Learning, and Ancient History. Cambridge, UK

Working in functional genomics, machine learning, and single-cell with a focus on multi-perturbation modeling. PhD Candidate in labs of Hani Goodarzi and Luke Gilbert @ UCSF and Arc Institute Comp Bio and ML at Tahoe Therapeutics (formerly Vevo)

Removing barriers to computational drug discovery one bit at a time. Associate Professor in Computational and Systems Biology at the University of Pittsburgh. https://bits.csb.pitt.edu/

Biophysicist｜Damon Runyon QB & NCI Early Stage K99/R00 Fellow at MSKCC w/ @jchodera.bsky.social | @foldingathome.org | PhD with @drgregbowman.bsky.social | Variant Effects, Protein dynamics, Dogs, Games 🇮🇳🇸🇬🇺🇸 My website: https://sukritsingh.github.io