Mohammad Parsa

@UCBerkeley PhD candidate in computational biology: Mixing proteins with AI and hoping they don’t take over the world. #MadScientistInProgress

[MLSB (in San Diego + Copenhagen) @workshopmlsb]

Our next contributed talk is "Taxoformer: Hierarchical Transformer for Predicting the Full Taxonomic Lineage of Protein Sequences" by @mparsa_

[Mohammad Parsa @mparsa_]

Excited to see our protein-language-model work highlighted by Nature. Big thanks to everyone at @310ai__!

[Kathy Y. Wei, Ph.D. @KathyYWei1]

In our interview with Nature, we explore how AI is learning to design real, functional proteins at 310ai:
https://t.co/ZNlOTaIRn8

[Mohammad Parsa @mparsa_]

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!

[Kathy Y. Wei, Ph.D. @KathyYWei1]

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

[Mohammad Parsa @mparsa_]

GEM Workshop spotlight paper: https://t.co/kl1p6ACyg0

[Mohammad Parsa @mparsa_]

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 ☕️

[Kathy Y. Wei, Ph.D. @KathyYWei1]

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.

https://t.co/Kjk6M8nrBR

[Mohammad Parsa @mparsa_]

@alexechu_ Hi Alex, my PhD research focus at UC Berkeley is actually on protein design and benchmarking existing protein LLM models. I also have experience working at a protein design startup in SF. Looking forward to discussing this opportunity further. Thank you!

[Mohammad Parsa @mparsa_]

@ylongqi Hi @ylongqi . I’m interested! PhD student at UC Berkeley, working on benchmarking protein LLM capabilities.

[Mohammad Parsa @mparsa_]

@FrankNoeBerlin @MSFTResearch Thank you for the clarifying!

[Mohammad Parsa @mparsa_]

@garretthonke Thanks, Garrett, for the opportunity. I've applied. While my recent work primarily involves applying LLMs in protein research, I'm enthusiastic about expanding my focus to other domains. I look forward to discussing my experience and the potential of contributing to the program.

[Mohammad Parsa @mparsa_]

@ArashVahdat Thank you Arash, I have already applied for the summer intern position. Looking forward to chatting about possible project ideas!!

[Mohammad Parsa @mparsa_]

@amir_habibian Thank you Amir! I applied and looking forward to chatting possible project ideas!!

[Mohammad Parsa @mparsa_]

@_dieuwke_ @AIatMeta Thank you Dieuwke! I applied!

[Mohammad Parsa @mparsa_]

@TomSercu Hi Tom, the link seems broken :)