Short Bio

Hi! I'm a 3rd year Ph.D. candidate from AdONE (Advanced Optimization in a Networked Economy), a training community targeting the intersection of mathematics, computer science, and management science, at the Technical University of Munich, in Germany. I got my master's degree from the University of Tokyo, Japan, and spent years as a research assistant at the National Institute of Informatics, Japan. My background fills in applied economics and theoretical computer science by these experiences. 

I'm currently involved in many practical market analysis/design problem projects. I have a deep interest in utilizing mathematical modeling and computing techniques (and AI) in market research, though not limited to
•    Methodology: Stochastic Optimization, Agent-based Simulation, Reinforcement Learning;
•    Application: Platform Economics (i.e., Information Design, Pricing Policy), Matching Theory.

Outside of research, I have my own media channels (Bilibili, Weibo) at several largest video-sharing websites in China. Sometimes I do vlogs to record my life, and I'm more inspired in spreading knowledge related to operations research applications.

Publications

N. Kakimura, D. Zhu. Dynamic Bipartite Matching Market with Arrivals and Departures. In Proceedings of the 17th International Conference on Web and Internet Economics (WINE), 2021. [ArXiV]