reasoning

Causal Reasoning in Medical Digital Twins: Methods and Architectures

Sakhaa Alsaedi, Ph.D. Student, Computer Science

Apr 29, 03:00 - 05:00

B3 R5209

explainable AI reasoning causal representation learning medical digital twins personalized medicine AI AI for healthcare

This dissertation develops a principled computational framework for causal reasoning in Medical digital twins (MDT) systems, moving beyond correlation-driven approaches toward explainable and biologically grounded decision support.

Mohammad Zbeeb

Intern

reasoning Safety Agents

Computer Science student at the American University of Beirut (AUB) and research assistant focused on large language models, alignment, and AI safety at KAUST