Kuan Pang

Hi, I'm Kuan. 👋

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I am a Computer Science Ph.D. student at Stanford, advised by Prof. Jure Leskovec.

I work on building the AI Virtual Cell. I am particularly excited about (1) how to develop machine learning models that reason about biological systems across physical scales, (2) how to evaluate these models in a biologically meaningful way, and (3) how to use these models to generate novel biological hypotheses and guide experiments.

Previously, I did my B.S. in {Computer Science, Bioinformatics and Computational Biology, and Statistics} @ University of Toronto and had the fortune to work at Vector Institute with Prof. Bo Wang.

selected publications

2025

  1. lumi-lab.gif
    LUMI-lab: a foundation model-driven autonomous platform enabling discovery of new ionizable lipid designs for mRNA delivery
    Haotian Cui**, Yue Xu**, Kuan Pang*, Gen Li*, Fanglin Gong*, Bo Wang†, and Bowen Li†
    BioRxiv, 2025
    PDF

2024

  1. bleep.gif
    Spatially Resolved Gene Expression Prediction from Histology Images via Bi-modal Contrastive Learning
    Ronald Xie, Kuan Pang, Sai Chung, Catia Perciani, Sonya MacParland, Bo Wang†, and Gary Bader†
    Advances in Neural Information Processing Systems, 2024
    PDF
  2. scgpt.gif
    scGPT: toward building a foundation model for single-cell multi-omics using generative AI
    Haotian Cui*, Chloe Wang*, Hassaan Maan, Kuan Pang, Fengning Luo, Nan Duan, and Bo Wang
    Nature Methods, 2024
    PDF

2023

  1. maester.gif
    MAESTER: Masked Autoencoder Guided Segmentation at Pixel Resolution for Accurate, Self-Supervised Subcellular Structure Recognition
    Ronald Xie*, Kuan Pang*, Gary D Bader†, and Bo Wang†
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
    ✨Selected as Highlight(top2.5%)✨
    PDF