Jessie Zixin Li

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zixin_li [AT] berkeley [DOT] edu

šŸ‘‹ Iā€™m Jessie Li (ęŽå­ę¬£), a first-year PhD student in Computational Precision Health at UC Berkeley and UCSF, advised by Prof. Serina Chang. Iā€™m interested in AI for understanding human behavior and informing public health decisions, with a particular focus on human mobility.

My previous work explored how generative models can learn individual mobility trajectories conditioned on demographic characteristics from aggregate data. I now work on using mobility data to inform emergency response and support real-world policy decisions.

Publications

2026

  1. Preprint
    Learning demographic-conditioned mobility trajectories with aggregate supervision
    Jessie Li, Zhiqing Hong, Toru Shirakawa, Shashank Mehrotra, and Serina Chang
    arXiv preprint, 2026
    Under review
    arXiv Code
  2. AISI
    BSAN: Behavioral State Attention Network for Modeling Mosquito Hostā€“Seeking Behavior
    Haotian Sun, Jessie Li, and John M. Marshall
    In AAAI 2026 Artificial Intelligence for Social Impact Track, 2026
    PDF

Teaching

(Summer 2025) PH 142: Introduction to Probability and Statistics in Biology and Public Health