Research Group

Data Science

Supervisor

Dr Chengchun Shi

Kai's primary research interests lie in offline reinforcement learning, Confounded Partially Observable Markov Decision Processes (POMDPs), and high-dimensional statistics.

Prior to starting the PhD programme, he achieved an MSc in Applicable Mathematics from The London School of Economics and a BSc in Mathematics with Finance from The University of Liverpool, as well as Xi'an Jiaotong-Liverpool University. He also has research experience in vector databases, nearest neighbor search, graph indexing, graph routing, and high-dimensional data distributions.