
@UCBerkeley PhD candidate in computational biology: Mixing proteins with AI and hoping they don’t take over the world. #MadScientistInProgress
Berkeley, CA
Joined August 2012
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Mohammad Parsa retweeted
Our next contributed talk is "Taxoformer: Hierarchical Transformer for Predicting the Full Taxonomic Lineage of Protein Sequences" by @mparsa_
Excited to see our protein-language-model work highlighted by Nature. Big thanks to everyone at @310ai__!
In our interview with Nature, we explore how AI is learning to design real, functional proteins at 310ai:
nature.com/articles/d41586-0…
Had the pleasure of presenting our poster at #ICLR on designing functional de novo proteins with #MP4! Grateful to work with the amazing team at @310ai__ and contribute to this exciting research. Thanks to everyone who stopped by!
Come check out "A generalized protein design ML model enables generation of functional de novo proteins" @iclr_conf
Talk (celebrity presenter!): 9 am, Singapore EXO, GEM workshop, Hall 4 #4
Poster: 11:15AM-12:15pm Singapore EXO, GEM workshop, Hall 4 #4, poster session 1
Excited to be in Singapore next week for #ICLR2025! 🇸🇬
DM if you want to chat about protein language models, or just to enjoy some nice specialty coffee ☕️
GEM Workshop spotlight paper: biorxiv.org/content/10.1101/…
Mohammad Parsa retweeted
MP4 uses AI to generate never before seen proteins from text that are validated in the lab. Learn more at the GEM workshop Apr 27 in Singapore at #ICLR2025.
biorxiv.org/content/10.1101/…






