hello world. :)
19.11.2024 15:21 — 👍 2 🔁 0 💬 1 📌 0
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
