Xuefei (Julie) Wang

Xuefei (Julie) Wang

PhD Student, Computation & Neural Systems

California Institute of Technology

I am a PhD student at Caltech, advised by David Van Valen and Yisong Yue. My research focuses on AI agents for scientific discovery and deep learning methods for biology, with applications in spatial proteomics and spatial transcriptomics.

During my PhD, I was also a student researcher at Google Research. I received my B.S. in Computer Science from Fudan University.

News

Publications

See Google Scholar for a full list.

  1. An AI system to help scientists write expert-level empirical software

    E. Aygün, A. Belyaeva, G. Comanici, ..., X. Wang, ..., M. P. Brenner

    arXiv 2025

  2. Simple Agents Outperform Experts in Biomedical Imaging Workflow Optimization

    X. Wang, K. A. Horstmann, E. Lin, J. Chen, A. R. Farhang, S. Stiles, A. Sehgal, J. Light, D. Van Valen, Y. Yue, and J. J. Sun

    arXiv 2025

  3. Human biomolecular atlas program (HuBMAP): 3D human reference atlas construction and usage

    K. Börner, P. D. Blood, J. C. Silverstein, et al. (incl. X. Wang as part of the HRA Team)

    Nature Methods 22, 845–860, 2025

  4. Automated classification of cellular expression in multiplexed imaging data with Nimbus

    J. L. Rumberger, N. F. Greenwald, J. S. Ranek, ..., X. Wang, ..., M. Angelo

    Nature Methods 22, 2161–2170, 2025

  5. Generalized cell phenotyping for spatial proteomics with language-informed vision models

    X. Wang, R. Dilip, A. R. Iqbal, Y. Bussi, C. Brown, E. Pradhan, Y. Jain, K. Yu, S. Li, M. Abt, K. Börner, L. Keren, Y. Yue, R. Barnowski, and D. Van Valen

    bioRxiv 2024

  6. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning

    E. Laubscher, X. Wang, N. Razin, T. Dougherty, R. J. Xu, L. Ombelets, E. Pao, W. Graf, J. R. Moffitt, Y. Yue, and D. Van Valen

    Cell Systems 15.5, 475–482.e6, 2024

  7. Scaling biological discovery at the interface of deep learning and cellular imaging

    M. Schwartz, U. Israel, X. Wang, E. Laubscher, C. Yu, R. Dilip, Q. Li, J. Mari, J. Soro, K. Yu, E. Pradhan, A. Ates, D. Gallandt, R. Barnowski, E. Pao, and D. Van Valen

    Nature Methods 20.7, 956–957, 2023

  8. Complementary Maps for Location and Environmental Structure in CA1 and Subiculum

    J. M. Olson, A. B. Johnson, L. Chang, E. L. Tao, X. Wang, and D. A. Nitz

    bioRxiv 2021

  9. The dynamic and task-dependent representational transformation between the motor and sensory systems during speech production

    W. Zhang, Y. Liu, X. Wang, and X. Tian

    Cognitive Neuroscience 11.4, 194–204, 2020

  10. Revealing the temporal dynamics in non-invasive electrophysiological recordings with topography-based analyses

    X. Wang, H. Zhu, and X. Tian

    bioRxiv 2019

  11. Can computers understand word meanings like the human brain does? Comparable semantic representation in neural and computer systems

    L. Zhang, L. Wang, J. Yang, P. Qian, X. Wang, X. Qiu, Z. Zhang, and X. Tian

    bioRxiv 2019

Teaching

Beyond Research

When I'm not doing research, I'm usually outside — rock climbing, tree climbing, snowboarding, surfing, hiking, camping, or finding things to parkour off of. I also crochet. My name 雪飞 means "flying snow" — given to me on the morning I was born, when the world outside was quiet and white.