Foundation Models for Biology Seminar Series
The Foundation Models for Biology (FM4Bio) Seminar Series by GenBio AI explores the applications of multiscale foundation models in solving complex biological challenges. These models integrate multimodal biological data—DNA, RNA, proteins, and single-cell information—to predict, simulate, and program biology at different levels.
As part of GenBio AI’s broader vision to develop the world’s first AI-Driven Digital Organism (AIDO), these seminars highlight the latest advancements in using foundation models to uncover biological insights, accelerate drug discovery, and personalized medicine.
Our seminars bring together experts working at the intersection of AI and biology to present groundbreaking work and explore how foundation models can bridge the gap between molecular data and systems biology.
The series is hosted by Caleb Ellington and Shahin Mohammadi and offers an opportunity for the research community to stay informed and engaged with cutting-edge innovations.
Register For Our Next Session
Schedule
All upcoming and past talks in our series.
🚀 Upcoming Talks
📡 TBA
🧬 Past Talks
✅ Mapping Cell Fate Transition in Space and Time (Blog in Process)
Presenter: Joshua D. Welch
Date: April 14, 2025
Summary: Joshua will present TopoVelo, a probabilistic model that infers spatial and temporal dynamics of cell fate transitions by extending RNA velocity to spatial transcriptomic data.
✅ Mapping Cells Through Time and Space With Moscot (Blog In Process)
Presenter: Dominik Klein
Date: March 26, 2025
Summary: Dominik showcased moscot, an optimal transport framework that maps cellular dynamics across space and time, integrating multimodal single-cell data to reveal new insights into pancreas biology.
✅ How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
Presenter: Philip Fradkin
Date: March 3, 2025
Summary: Phil introduced MolPhenix, a contrastive learning model that improves the retrieval of active molecules by aligning phenomic (cell-painting) data with molecular structures.