Dear all,

We are pleased to announce a new online course: Causal AI Methods for Computational Biology

Dates: 2–6 November

Course website: https://www.physalia-courses.org/courses-workshops/causal-ai-methods/

This course introduces modern causal inference and AI/ML approaches for computational biology, guiding participants from foundational causal concepts to state-of-the-art methods.

Over five days, you will learn how to:

• define and formalise causal questions using potential outcomes and DAGs

• apply classical methods such as propensity scores, IPW, g-computation, and doubly robust estimation

• explore causal machine learning approaches including causal forests and targeted learning

• integrate causal reasoning into multi-omics and biological data analysis workflows

• build reproducible causal analysis pipelines in R and Python

If you are interested in moving beyond correlation and learning how to infer causation from biological data, we would be delighted to have you join us.

Best regards,

Carlo

Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR