Taro applies interdisciplinary methods to unravel how climate change impacts society.
With training and experience in physics and public policy, Taro applies quantitative and qualitative methods to determine future climate change impacts, especially regarding overlooked risks within the social system, and connects findings to policy recommendations. His current focus is on Bayesian network analysis of systemic risks from climate change.
Taro has a PhD in physics from the University of Tokyo, where he focused on early universe cosmology. He also has an additional master’s degree in public policy from the University of Chicago, where he focused on environmental economics and machine learning. He has experience as a policy practitioner in the Japanese government, where he worked on science policy, energy policy, culture policy, and education policy.