AI x Single-cell Biology Reading Group

​Technical talks on engineering challenges and interesting problems at the intersection of AI and single cell data.

​Talks cover emerging analysis methods for new kits, benchmarks + evaluations for frontier models and practical ML for drug screening.

We'll hear from the following:

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Valentine Svensson - Principal Computational Biology Scientist @ Tahoe Therapeutics | Effective drug screen extrapolation
> At Tahoe therapeutics we generate drug screen data with transcriptomic readout at massive scale for therapeutic discovery. To extend the utility of these screens even further we have developed state of the art predictive models for extrapolation to unseen experimental conditions, feeding into the discovery process. This gives researchers access to hypothetical experimental results that can be used to guide hypotheses and prioritize future experiments.

Mikaela Koutrouli - Core Developer @ scverse | Making scverse AI-Ready: From Optimized Data Infrastructure to Agentic Single Cell Biology Workflows

Harihara Muralidharan - Technical Staff @ LatchBio
Zhen Yang - Technical Staff @ LatchBio

​Hosted at the LatchBio office. Food + drink provided.

​​​Agenda

• ​​​5:00 - 6:00 Meet others. Eat + drink.

• ​​​6:00 - 8:00 Talks + Q&A

• ​​​8:00 - TBD Socialize

​Abstracts posted closer to the event