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Takayuki Osogami is a research staff member at IBM Research - Tokyo. He is currently a group leader of a governmental project supported by CREST, Japan Science and Technology Agency. His group is developing "technologies for optimizing decision making to create values from deep knowledge" as a part of Advanced Core Technologies for Big Data Integration. He develops and applies theory of deep sequential decision making, where a machine learns the individual characteristics of humans for better interaction. He received his Ph.D. in Computer Science from Carnegie Mellon University in August 2005, and a B.Eng. degree in Electronic Engineering from the University of Tokyo in 1998.