Computational Biology, Genomics, Machine Learning, AI. Assistant Professor at UTSW
VP, Genentech
Associate Professor at the Allen School of Computer Science and Engineering, University of Washington (on leave)
CSHL meetings and conferences: Facilitating the latest ideas in the biological sciences since 1933.
Science News from Cold Spring Horrors Laboratory, where our science goes to eleven! Parody of science and it's horrors. Lobster stan.
Associate Professor of Bioinformatics at University of Tartu, Estonia. Project lead at eQTL Catalogue. https://kauralasoo.github.io/
Dean of Science, Professor of Chemistry, and Professor of Physiology & Cellular Biophysics at Columbia University | Single-Molecule Biophysics, Structural Biology, and Biochemistry | Diversity, Equity, and Inclusion in STEM
GWAS whisperer.
It's usually the closest gene.
Executive Director, Integrative Biology, Internal Medicine Research Unit. Pfizer R&D. All views my own.
Also cats.
Professor of Genetic Epidemiology, University of Bristol at: uob-ieu@bsky.social
building stuff
https://kerimoff.github.io/
San Diego Dec 2-7, 25 and Mexico City Nov 30-Dec 5, 25. Comments to this account are not monitored. Please send feedback to townhall@neurips.cc.
physician-scientist, author, editor
https://www.scripps.edu/faculty/topol/
Ground Truths https://erictopol.substack.com
SUPER AGERS https://www.simonandschuster.com/books/Super-Agers/Eric-Topol/9781668067666
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/
PhD student University College London: machine learning for protein design and structure-based drug discovery
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 🤖🧬⚛️
