Lingkai Kong

Lingkai Kong is a postdoctoral fellow in computer science at Harvard John A. Paulson School of Engineering and Applied Sciences whose research focuses on generative AI, reinforcement learning, optimization, and multi-agent systems for high-stakes decision-making in domains such as public health and sustainability.

Generative AI Targets Three Bottlenecks in One Health Decisions

Harvard postdoctoral fellow Lingkai Kong argues that generative AI can address three recurring failures in high-stakes One Health decision-making: scarce deployment data, hard-to-represent constrained policies, and shifting human priorities. In a Microsoft Research seminar, he presents flow matching, diffusion models and LLM agents as tools for patrol planning, poaching prediction, HIV testing policy and reward design, with collaborations involving conservation partners, the WHO, the Gates Foundation and South African health researchers.

Microsoft ResearchMay 26, 202616 min read