Excited to attend #NeurIPS2022 in person at New Orleans. Happy to chat about ML for health, drug discovery and more if you're around

Participating in #NeurIPS2022? Join insitro senior machine learning scientist Srinivasan Sivanandan’s virtual presentation tomorrow for a deep dive on using #MachineLearning to analyze and learn from image-based pooled CRISPR knock-out screens.

Proclamations are easy, results are HARD. Speculating is easy, building is HARD. Critiquing is easy, problem solving is HARD. Barely-baked prototypes are easy, shipping validated solutions’ V HARD. Hype cycles occur when 99.9999% of the activity is focused on the former, by

This is the best video to introduce a computational biology course. There will never be a better one x.com/fan_of_gpu/sta…

We're excited to be in Boston next week for the Society of Biomolecular Imaging and Informatics Conference! Join us as we present our latest advancements in machine learning and cellular technologies. Full schedule: sbi2.org/conference/

Another preprint that has been a lot of fun is our work on Channel Vision Transformers with YujiaBao and Srinivasan Sivanandan , a vision transformer variant which explicitly models different channels separately and creates one token per channel. Paper: arxiv.org/abs/2309.16108# 1/N

“The surest way to get what you want is to try and deserve what you want.” - Charlie Munger (1924-2023)

Seems like a consensus is forming amongst many smart people! This is Jensen Huang, CEO of $NVDA Basically WATCH OUT for the impending biotech BOOM 💥

(1/5) Join insitro in New Orleans at NeurIPS Conference 2023 this week to learn about our latest research advancements using #ML and data at scale to bring better drugs faster to the patients who can benefit most.

Are you coming to #JPM24? Be sure to check out our founder and CEO Daphne Koller on Monday, Jan. 8 at 3:30 p.m. PT for an update on our latest work and progress. businesswire.com/news/home/2023…

insitro Research Alert: #ALS is a devastating, genetically complex disease that makes the discovery of new medicines challenging. Learn more about how we’re addressing this challenge using multimodal machine learning in our recently published paper: biorxiv.org/content/10.110…

Come join our exec team at insitro - tinyurl.com/4uccv62j: lead our ML efforts and make a difference to patients! We are building an ML-enabled platform to advance medicines for patients in neuroscience, metabolism and oncology diseases. (Read more: tinyurl.com/mwe4xrdb).

For 5 years, we've been making medicines differently & building our industry-leading #ML platform. We were proud to share our latest progress last week during #JPM24. Read our recent news and publications at insitro.com/publications-p… & stay tuned for more updates during the year.

Welcome Emily Fox, PhD, leading #AI & #ML visionary, as insitro’s SVP of AI/ML! With transformative contributions at Stanford University, Apple & University of Washington, she will help advance insitro's ML-powered drug discovery platform to drive novel therapeutic innovation. More: businesswire.com/news/home/2024…

Come see our work on Channel Vision Transformers at #ICLR2024 presented by Srinivasan Sivanandan , YujiaBao and me didn’t make it to Vienna this time. It’s a fun twist on transformers for pixels that helps with multi-channel imaging and dataset integration, also has a useful idea on

If you’re at ICLR 2024, visit our poster in Hall B, #145, from 10:45 a.m. to 12:45 p.m. CEST.

This summer, we hosted 27 students from BS, MS and PhD programs who tackled cutting-edge ML-driven drug discovery challenges. From gene behavior to single-cell analysis, they pushed boundaries & brought fresh energy. Thanks to all for an inspiring season of innovation. 🔬