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21min chapter
Causal Models, Biology, Generative AI & RL || Robert Ness || Causal Bandits Ep. 011 (2024)
Causal Bandits Podcast
Exploring Causal Discovery in Systems Biology
The chapter follows the speaker's journey from statistical ease to delving into modeling and data science in systems biology, detailing their application of causal discovery algorithms to reconstruct biological pathways. It emphasizes the significance of Bayesian experimental design methods, incorporating uncertainty and prior knowledge in modeling causal structures and decision-making processes. The conversation extends to the integration of causality principles into reinforcement learning, highlighting the importance of understanding causal relationships for more effective outcomes.
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