Research

My research lies at the intersection of artificial intelligence, machine learning, optimization, and decision sciences. I pursue two complementary research streams. For a complete publication list, see my Google Scholar profile.

AI for Better Science

How can artificial intelligence complement human scientists in generating, evaluating, and refining scientific knowledge?

  1. Ke Li, Spyros I. Zoumpoulis, Phanish Puranam, Philip M. Parker, …, and Eric Luis Uhlmann. Artificial Intelligences and Human Scientists Exhibit Complementary Strengths in Theory Building. Preprint, 2026.

AI for Better Decisions

How can we design machine learning systems that optimize the decisions they support, rather than predictive accuracy alone?

  1. Decision-Aware Segmentation. Joint work with Sandeep Chandukala, Ernst Osinga, and Spyros Zoumpoulis. Working paper; draft available upon request.

    Best Paper Award, Singapore Rising Scholars Conference (SMU), 2026.

    Presentation slides · MSOM 2026 Decision-Aware Segmentation presentation preview
  2. Bohan Zhou, Ke Li, Jiechuan Jiang, and Zongqing Lu. Learning from Visual Observation via Offline Pretrained State-to-Go Transformer. Advances in Neural Information Processing Systems (NeurIPS), 2023.
  3. Jing Dong, Ke Li, Shuai Li, and Baoxiang Wang. Combinatorial Bandits under Strategic Manipulations. ACM International Conference on Web Search and Data Mining (WSDM), 2022.