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News: Causal AI Methods for Computational Biology – Online Course | 2–6 November

Dear all,

We are pleased to announce the online course "Causal AI Methods for Computational Biology", taking place 2–6 November.


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


This five-day course introduces causal inference, causal machine learning, and AI methods for computational biology, combining foundational concepts with practical, hands-on exercises using biological datasets and publicly available tools.


The course is aimed at advanced MSc, PhD, and postdoctoral researchers in statistics, biostatistics, and computational biology. Working knowledge of R/Bioconductor is required.


Participants will learn how to formulate causal questions, work with DAGs, apply classical causal estimation methods, and use modern causal AI and machine learning approaches in computational biology and multi-omics workflows.

For the full list of our courses and workshops, please visit: https://www.physalia-courses.org/courses-workshops/

Best regards,

Carlo


Carlo Pecoraro, Ph.D

Physalia-courses DIRECTOR

causalinference computationalbiology machinelearning ai

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