Kipoi - Seminar

The monthly virtual seminar series is designed as a platform for interested Kipoi users and developers and will host talks on the applications of deep learning on biological data. The seminar is held on every first Wednesday of the month at 5:30 p.m. - 6:30 p.m. CET/CEST. We are also happy to share the recordings of the seminar on YouTube.

How to take part

Our Virtual Seminar Series is hosted entirely online. To join, please subscribe to the mailing list below; we will send you a single recurring link that provides access to every lecture in the series.

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How to apply as a speaker

The seminar is a great opportunity to present your recent work to a large international audience. If you want to apply as a speaker, please use the contact in the registration confirmation email.

Next seminar

Title: Accelerating Molecular Design with generative and agentic AI

4 November 2026 5:30 p.m. - 6:30 p.m. CET/CEST

Speaker: Wengong Jin, Khoury College of Computer Sciences, Northeastern University; Eric and Wendy Schmidt Center, Broad Institute

Abstract:

Molecular discovery requires balancing competing biological objectives and adapting design strategies as new evidence emerges. In this talk, I will present two complementary approaches to building AI agents for molecular design. SAGA uses large language model agents to analyze optimization results and evolve scoring functions, with applications to experimentally validated antibiotic and nanobody design. MolRSI combines systematic optimization of models and workflows with persistent memory across tasks, enabling accumulated experience to improve subsequent searches. In experiments, MolRSI increased antibiotic screening hit rates from 8.7% to 15.9% and produced eight peptide–MHC binder hits with preferential binding over tested off-targets. Together, these studies demonstrate how agents can refine both what they optimize and how they search, advancing molecular discovery through adaptive objectives and learning from experience.

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