NVIDIANs in Digital Biology
If you’re interested in following what NVIDIA product and research teams are doing in drug discovery and genomics, these are the people to follow 🧬 ⚛️
Created by
@dr-alphalyrae.bsky.social
@druau.bsky.social
Computational biologist. RWTH Aachen, Stanford, U of Cambridge. ex-AZ, ex-Bayer. NVIDIA
@brunotrentini.bsky.social
AI PhD Student at University of Oxford, Applied Research Scientist at NVIDIA
@darrenjhsu.bsky.social
Solutions Architect for Healthcare, Life Sciences and Biology @ NVIDIA. Biophysics, simulations and X-ray sciences. Opinions are my own. He/him. darrenjhsu.github.io
@modernscientist.bsky.social
Applied Research Manager, Bio-Foundation Models at @NVIDIA. Biophysics and machine learning. Opinions are my own. She/her. https://michellelynngill.com
@youhanlee.bsky.social
Digital Biology @ NVIDIA Senior AI applied scientist for Drug Discovery
@alissagordon.bsky.social
HCLS @ NVIDIA. Single mom by choice. Views are my own. (she/her)
@machine.learning.bio
🏳️🌈 NVIDIA & Duke. Was Allianz, VantAI, TUM. BioCS+ML dude. Lab page: https://machine.learning.bio GScholar: https://scholar.google.com/citations?user=4q0fNGAAAAAJ
@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
@allthingsapx.bsky.social
Product Marketing Lead @NVIDIA | PhD @UMBaltimore | omics, immuno/micro, AI/ML | 🇺🇸🇸🇰 | Posts are my own views, not those of my employer.
@dr-alphalyrae.bsky.social
AI for Life Sciences & Digital Health at NVIDIA | trained as a scientist from JGI, UW & UC Berkeley | views are all mine