The variety of faculty members is an attractive point of SDS. It is rare to find such a faculty of various members majoring in social sciences, statistics, and informatics/AI. Students can take many interesting subjects and discuss leading topics with faculty members. Students are also encouraged to take subjects from other faculties to expand their horizons. To improve our society through data science techniques, skills to find and formulate social challenges are needed. The curriculum at SDS is designed to cultivate such a viewpoint. SDS is unique in that students can learn not only the fundamentals of data science but also how to apply them to practical social challenges.

My research fields are information networks and distributed systems. I am especially interested in techniques that enable cooperation among a large number of computers. While valuing the fundamental research perspective that only an academic institution can provide, I would like to expand my efforts based on social challenges through research collaborations with industry. I hope that students will acquire high expertise through the SDS curriculum. Of course, the substance of the expertise is important, but it is also highly valued to learn how to deepen the expertise. We live in an era that is changing rapidly, and some parts of the knowledge we acquire may become outdated soon. However, the skills to learn and apply new things will not be outdated. I would like to provide a meaningful place where students can cultivate such skills.