Masataro Asai

Masataro Asai is a research staff member at IBM Research Cambridge and the MIT-IBM Watson AI Lab. He joined after receiving a PhD from University of Tokyo in 2018 under Alex Fukunaga, and working for IBM Research Tokyo during 2019. His main expertise is classical planning and heuristic graph search, while his recent work focuses on the automatic identification of discrete symbolic entities that aids planning, i.e., symbol grounding, with the help of deep neural networks. He is the main author of NUMCL library, a Numpy clone written in Common Lisp that has 500> stars on Github.