I am a Project Assistant Professor working in collaboration with Prof. Akiko Takeda at University of Tokyo, Japan.
2026/6/1: l will present our paper, "Parameter-Free Accelerated Quasi-Newton Method for Nonconvex Optimization", at SIAM OP26 on July 5.
2026/5/31: Our new paper, "A General Recipe for Parameter-Free Nonconvex Optimization via Higher-Order Regularization", is available on arXiv.
2025/7/21: Our paper "Parameter-Free Accelerated Gradient Descent for Nonconvex Minimization," co-authored with Akiko Takeda, has been selected as a Best Paper Finalist at International Conference on Continuous Optimization (ICCOPT) 2025.
Continuous optimization. Especially,
First-order methods,
Worst-case complexity analysis,
Local convergence analysis,
User-friendly optimization methods.
I'm also interested in discrete optimization, machine learning, statistical methods, etc.
2023–: Project Assistant Professor, University of Tokyo
2016–2023: Researcher, NTT Communication Science Laboratories
2014–2016: Research Assistant, JST ERATO Kawarabayashi Large Graph Project
2023: Ph.D. of Information Science and Technology
Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo
Supervisor: Prof. Akiko Takeda
Thesis: Fast Nonconvex Optimization Methods without Parameter Tuning
2016: Master of Information Science and Technology
Department of Mathematical Informatics, Graduate School of Information Science and Technology, University of Tokyo
Supervisor: Prof. Kunihiko Sadakane and Prof. Kazuo Murota
2014: Bachelor of Engineering
Department of Mathematical Engineering and Information Physics, Faculty of Engineering, University of Tokyo
Supervisor: Prof. Akimichi Takemura