Ke Li (INSEAD)

Hello, my name is Ke Li (李可). I am currently a PhD student in Decision Sciences at INSEAD, advised by Spyros Zoumpoulis.

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

• In one stream, I focus on data-driven machine learning algorithms that integrate optimization, estimation, and prediction to support robust decision-making under uncertainty.

• In another stream, I study human–AI collaboration in the scientific process toward more systematic forms of hybrid intelligence. I investigate how machine learning and generative AI can augment research workflows, particularly in hypothesis generation and theory building.

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 also worked as a full-time reinforcement learning researcher at Beijing Academy of Artificial Intelligence, and interned as a ML engineer at Microsoft Research Asia, Byte Dance, and Sense Time.