
Aakarsh Vermani
@aakarshv1
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@UCBerkeley EECS | @BerkeleyML | Research @ CCB
Berkeley, CA
Joined May 2020
Super excited to be closing out this semester’s Berkeley BioML Seminar on Monday 4/28 with a talk from @Tianyu_Lu on SHAPES, a framework that addresses key limitations in computational protein design evals, helping us generate more viable structures!
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Tianyu is a PhD candidate in Possu Huang's group at Stanford University working on generative models of protein structures. Previously, he worked at…
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We're having another BioML @ Berkeley seminar next Monday 4/7! This time we'll be learning from David Kelley (@drklly) about Borzoi, a new model that predicts RNA-seq coverage from DNA sequence, enabling a better understanding of gene regulation.
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David Kelley is a Principal Investigator at Calico Life Sciences, where he studies gene regulation in aging. He completed his PhD in computer science at the U.…
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Join us on Monday 3/10 for our latest installment of the BioML @ Berkeley seminar series! We'll be learning from the exceptional Elana Simon (@ElanaPearl) about mechanistic interpretability in BioML.
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[IN PERSON EVENT IN BERKELEY] Join us on Monday night at 7 PM for an insightful talk by Elana Simon on mechanistic interpretability for bioML! Elana Simon is a…
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RT @yun_s_song: Antibodies are highly diverse, but most possible sequences are unstable or polyreactive. In this work led by @milind_jagota….
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RT @SeyoneC: Its been a blast setting up and organizing the BioML seminar this year w/ @jajoosam @voidshapes! We've uploaded the recorded s….
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A friend sent me this great vid by @shackletonjones about how routine makes lives feel shorter, an idea backed by psych research. I think there’s a good info theory perspective here: routine = low entropy so your memories can be encoded more efficiently and thus feel shorter!
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Had a great time giving my first talk! Huge thanks to everyone who attended.
Snaps from last night's BioML lecture on protein engineering with AlphaFold2, ProteinMPNN, and RFdiffusion, led by the incredibly talented @aakarshv1. Recording will be up soon – next event on Feb 26 w/ Thomas Kalil, CIO of Schmidt Futures.
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RT @BerkeleyML: Come hear @aakarshv1 talk about machine learning for protein engineering! The talk will give an overview of AlphaFold2, RFD….
luma.com
[IN PERSON IN BERKELEY — zoom also available, details below] Come hear Aakarsh Vermani talk about applications of machine learning to protein engineering! The…
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RT @yun_s_song: We recently posted a preprint describing GPN-MSA, a DNA language model that leverages whole-genome alignments across multip….
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