Department:
Computational Precision Health
Bio/CV:
Toru Shirakawa, M.D., is an incoming Ph.D. student in Computational Precision Health at UC Berkeley and UCSF, mentored by Mark van der Laan. He develops longitudinal causal inference algorithms to optimize chronic disease management and promote healthy longevity. His recent work enhances longitudinal targeted learning with deep neural networks.
Research interests:
Causal Inference, Targeted Learning, Survival Analysis, Chronic Disease, Precision Health