Ke Li (Chloe)

Hello, my name is Ke Li (Chloe). I am currently a PhD student in Decision Science at INSEAD France Campus, advised by two amazing professors Spyros Zoumpoulis and Georgina Hall. I obtained my bachelor’s degree in Computer Science and Engineering from The Chinese University of Hong Kong, Shenzhen. During my undergraduate studies, I was very fortunate to work with and receive invaluable research guidance from Baoxiang Wang (CUHK-Shenzhen) and Yang Li (Tsinghua-Berkeley Shenzhen Institute).

Before my PhD, I worked as a reinforcement learning researcher at Beijing Academy of Artificial Intelligence, where I worked with Zongqing Lu on reinforcement learning and game AI. I also did ML internships at Microsoft Research Asia, Byte Dance, and Sense Time respectively during my undergraduate.

My current research interests generally span two lines:

• Information Design in Operations Research

• Reinforcement Learning and Decision Making

• Human-AI Collaboration

The long-term goal of my research is to build a common framework for decision-making under different forms of uncertainty with strong guarantees on performance, robustness, and interpretability, striving for theoretically-elegant and practically-relevant research in the broad area of “Human + AI + Decision Science”.