
Peyton Greenside
@peytongreenside
ID: 729564378098376704
09-05-2016 06:51:17
42 Tweet
654 Followers
404 Following




Thanks Anika Gupta for an awesome conversation and putting together this fantastic podcast!

Research associate roles at startups are an amazing way to learn how to plan and *strategically* do science w/ a team, all gunning toward the same mission. 🔌 open position at BigHat - a fast paced, nerdy-as-hell Bay Area startup: bighatbiosciences.pinpointhq.com/en/jobs/9860 DM me if you have ?s



Great summary by Sam’s Cub of recent work in collaboration with Andrew Gordon Wilson's group and BigHat Biosciences - take a look!

📅 Join Bay Area Marshall Scholars and Schmidt Science Fellows on April 20th for a reception at BigHat Biosciences! Hosted by CEO & Co-Founder Mark DePristo (2000 Marshall Scholar) and CSO & Co-Founder Peyton Greenside (2019 Schmidt Science Fellow) Register here ⬇️ eventbrite.com/e/reception-fo…


Tomorrow!! FoundHer series: Dr. Peyton Greenside of BigHat Biosciences Peyton Greenside will share how @bighatbio harnesses the power of #AI and #machineLearning to radically reduce the difficulty of designing antibodies & other therapeutic proteins. planitpurple.northwestern.edu/event/608579


We are teaming up with the incredible scientists at J&J to make some exciting new molecules for neuroscience applications. A huge thank you to everyone BigHat Biosciences and J&J Innovative Medicine who are making this effort possible.

How do you go from a hit in your antibody screen to a suitable drug? Now introducing CloneBO: we optimize antibodies in the lab by teaching a generative model how we optimize them in our bodies! w/ Nate Gruver Yilun Kuang Yucen Lily Li Andrew Gordon Wilson and the team at BigHat Biosciences! 1/7


Details and more results in the paper, trained models on github! Great working with BigHat Biosciences team: Hunter Elliot, Ani Raghu, Calvin McCarter Peyton Greenside! (Also got outstanding poster at AIDrugX at Neurips!) 7/7 arXiv: arxiv.org/abs/2412.07763 Code: github.com/AlanNawzadAmin…





Our latest addition to the interpretation toolkit for extracting feature interactions from deep learning models for genomics. Great work by Peyton Greenside . Feedback, critique, suggestions welcome. Try it out yourself. Code: github.com/kundajelab/dfim 1/ x.com/biorxivpreprin…