
Nathan C. Frey
@nc_frey
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Principal Scientist & group leader @PrescientDesign AI/ML • @Genentech | Advisor @atomscale & @guidelabsai | Prev @MIT, @Penn PhD, @BerkeleyLab
New York, NY
Joined April 2014
Lab-in-the-loop therapeutic antibody design. At @PrescientDesign @genentech we have spent 3+ years reimagining drug discovery. We built a machine learning system to design and execute experiments. Here's how it works and what we can do 🧵. 1/
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If you, like me, felt frustrated after reviewing 6 papers for @NeurIPSConf and thought "there must be a better way" then this post is for you. Link 👇
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congrats to @amyxlu on the publication of her work "Tokenized and continuous embedding compressions of protein sequence and structure" in @Patterns_CP ! . thanks to all co-authors! @wilson1yan @KevinKaichuang @GligorijevicV @kchonyc @pabbeel @RichBonneauNYC. Link below 👇
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RT @anshulkundaje: @sara_mostafavi (@genentech ) & I (@Stanford) r excited to announce co-advised postdoc positions for candidates with dee….
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"Another Rowan user called this 'an AlphaFold moment' for the field. This really is a step change in how good molecular simulation can be.". This is exactly what we hoped for and intended when we set out to build OMol25. Super cool to see the excitement in the community.
Last week, Meta released OMol25/UMA, a massive dataset of QM calculations and a set of models trained on the dataset. Over the past week, we've spent a lot of time benchmarking, hosting, and running these models. We wrote a post summarizing what we've learned (link below):
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The future of AI/ML for science is multimodal and multiscale; credit to @OpenCatalyst and the entire OMol25 team for leading the way. 7/7.
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Special shout out to @levine_ds for making it all happen on the biomolecules dataset. It's been immensely rewarding working with @JoshRackers, @levine_ds, and @bwood_m to make the definitive QM dataset for our field. 6/.
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