BioML @ Berkeley

About

Seminar series with researchers and leaders leveraging ML to stay at the cutting edge of biology.

Events

• BioML Seminar 4.5 - Deep Models of Protein Evolution in Time 2026-04-29
• BioML Seminar 4.4 - Scaling Perturbation-Trained Single-Cell Foundation Models to 3 Billion Parameters 2026-04-08
• BioML Seminar 4.3 - Advancing Science and Medicine with Collaborative AI agents 2026-03-04
• BioML Seminar 4.2 - Can agents analyze real-world spatial biology data? 2026-02-18
• BioML Seminar 4.1 - Designing proteins with language models 2026-02-10
• BioML Seminar 3.6 - Genomic language modeling for context-aware discovery 2025-12-02
• BioML Seminar 3.5 - Recent progress in generative methods for protein structure modeling and design 2025-11-25
• BioML Seminar 3.4 - Predicting genome-wide functional constraints with GPN-Star 2025-11-18
• BioML Seminar 3.3 - A universal framework for molecular modeling with Brandon Wood 2025-10-21
• BioML Seminar 3.2 - Benchmarking Model Performance on Pandemic-Threat Viruses 2025-09-30
• BioML Seminar 3.1 - Modeling cell perturbations with STATE 2025-09-16
• BioML Seminar 2.4 - Evaluating Protein Design Models with Tianyu Lu 2025-04-29
• BioML Seminar 2.3 - Mapping the Brain with Viren Jain 2025-04-15
• BioML Seminar 2.2 - A Unifying Model of Gene Regulation with David Kelley 2025-04-08
• BioML Seminar 2.1 - Mechanistic Interpretability for BioML with Elana Simon 2025-03-11
• BioML Seminar 12: Alex Telford on BioML opportunities outside of R&D 2024-04-23
• BioML Seminar 11: Jacob Ulirsch on gene variant identification & interpretation 2024-04-16
• BioML Seminar 10: Stephan Eismann on foundational models for RNA 2024-03-19
• BioML Seminar 9 — Rhiju Das on RNA Modeling 2024-03-05
• BioML Seminar 8 — Fireside chat with Tom Kalil 2024-02-27