probabilistic and deep ML | prev. VP of ML at Insitro, Staff ML researcher at Meta/FB, ex-founding member of Uber AI labs | angel investor
Dec 2, 2022 • 7 tweets • 3 min read
Beautiful new work “Del-Dock” on marrying DELs and docking stemming from the summer internship of @KShmilovich with us, led by him and Benson Chen, and our first of many works with @mmsltn and yours truly.
What did we do? A brief 🧵1/6
Paper link: arxiv.org/abs/2212.00136
In this work we learn deep representations using attention models in top of sampled docking poses combined with readouts from DNA encoded libraries to predict binding affinity. We introduce a likelihood that takes care of background matrix binding.
See what DELs do here 2/6
Nov 30, 2022 • 5 tweets • 2 min read
I will be taking interns and hiring FTEs for my advanced ML team at @insitro.
If you are interested in #AI4science and want to work on methods inspired by real world problems in drug discovery reach out. I am also at #neurips22 until the end of the week.
Topics! Links in 🧵1/4
We’re interested in:
generative models
causal inference
Robustness/uncertainty
Domain specific models for biology/genetics/chemistry/imaging
Probabilistic/deep modeling
Decision making & experimentation
