Course Announcement: Multimodal AI for Systems Biology (Online, 2–6 March 2026)

This 5-day online course offers a hands-on introduction to multimodal AI for integrating and analyzing diverse biological data types using R and Python. Designed for advanced MS, PhD students, postdocs, and computational biologists with basic R/Python knowledge.

Participants will learn to:

• Import, preprocess, and manage multimodal datasets

• Apply supervised and unsupervised fusion methods

• Use Bayesian and ensemble models for data integration

• Perform meta-analysis and multiview factor modeling

• Implement Multiple Instance Learning and causal AI frameworks

• Quantify uncertainty and interpret multimodal models

Daily live sessions run 14:00–18:00 CET with Q&A and Slack support for ongoing discussions.

Register and learn more at: https://www.physalia-courses.org/courses-workshops/multimodal-ai/