Ke Li (INSEAD)

Hello, my name is Ke Li. I am currently a PhD student in Decision Science at INSEAD Business School, advised by two amazing professors Spyros Zoumpoulis and Georgina Hall.

I pursue two distinct but complementary research areas at the intersection of management, artificial intelligence, and decision science.

• In one stream, I focus on decision-focused, outcome-aware analytics by developing data-driven algorithms for decision-making. My research examines how optimization, estimation, and prediction can be designed and evaluated to better align with managerial objectives.

• In a second stream, I develop a Human-AI collaborative framework for theory building, integrating human, machine learning, and generative AI to co-create theories in management research. This project is rooted in meta-science and knowledge creation.

Together, these two streams reflect my commitment to building computationally rigorous, decision-relevant, and scientifically-grounded tools in the broad area of “Human + AI + Decision Science”.

Before joining INSEAD, 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 receive invaluable research guidance from Baoxiang Wang and Yang Li.

I once worked as a reinforcement learning researcher at Beijing Academy of Artificial Intelligence. I also did ML internships at Microsoft Research Asia, Byte Dance, and Sense Time respectively during my undergraduate.