Causal AI Methods for Computational Biology

[Carlo Pecoraro]

Dear all,

We would like to share an upcoming online course that may be of interest to your community: Causal AI Methods for Computational Biology, taking place from 2–6 November 2026.

 

 

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

 

 

This five-day course introduces the foundations of causal inference and explores how modern machine learning and AI methods can be applied to biological research questions.

Through lectures and hands-on practical sessions, participants will learn how to formulate causal questions, work with directed acyclic graphs (DAGs), apply classical causal estimation methods, explore causal machine learning approaches, and integrate causal reasoning into multi-omics analyses.

 

 

Working knowledge of R/Bioconductor and familiarity with probability, statistics, and linear and logistic regression are expected. Previous machine-learning experience is helpful but not required.

 

We would be grateful if you could share this announcement with your members, subscribers, or colleagues who may be interested.

 

 

Best regards,
Carlo 

--------------------

Carlo Pecoraro, Ph.D


Physalia-courses DIRECTOR

in...@physalia-courses.org