Masashi Sugiyama is a Professor of Computer Science at the University of Tokyo and Director of the RIKEN Center for Advanced Intelligence Project (AIP), Japan. His research interests are in theoretical and algorithmic aspects of machine learning, including weakly supervised learning, transfer learning, density ratio estimation, and noise-robust learning. He has written several books on them. He was a program co-chair for NeurIPS2015, AISTATS2019, and ACML2010/2020---it was not an easy job, but an unforgettably fruitful experience! RIKEN-AIP is a national research project center in Japan, and he established and leads the research groups on generic machine learning technologies, goal-oriented AI technologies for science and society, and social aspects of AI. He is happy to talk about various topics such as research, career, team management, and conference organization.