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
- Oct 2025 Co-organized the LM4Sci Workshop at COLM.
- Sep 2025 Contributed to a Google Research paper on AI for scientific software, now on arXiv.
- Jun 2025 Joined Google Research as a Student Researcher on the Science AI Team.
- Mar 2025 Organized a Foundation Models Workshop at Caltech.
- Feb 2025 Presented a poster at the Winter Q-Bio Conference.
- Jan 2025 Invited talk at the NYU Single-Cell Analysis Club.
- Nov 2024 Posted my preprint on generalized cell phenotyping for spatial proteomics to bioRxiv.
- Oct 2024 Talk at the EMBO Workshop on Spatial Omics and Human Diseases.
- May 2024 Our paper on spot detection for spatial transcriptomics published in Cell Systems.
- Mar 2024 Talk at the HuBMAP Demo Day.
Publications
See Google Scholar for a full list.
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An AI system to help scientists write expert-level empirical software
arXiv 2025
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Human biomolecular atlas program (HuBMAP): 3D human reference atlas construction and usage
Nature Methods 22, 845–860, 2025
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Automated classification of cellular expression in multiplexed imaging data with Nimbus
Nature Methods 22, 2161–2170, 2025
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Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning
Cell Systems 15.5, 475–482.e6, 2024
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Scaling biological discovery at the interface of deep learning and cellular imaging
Nature Methods 20.7, 956–957, 2023
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Complementary Maps for Location and Environmental Structure in CA1 and Subiculum
bioRxiv 2021
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The dynamic and task-dependent representational transformation between the motor and sensory systems during speech production
Cognitive Neuroscience 11.4, 194–204, 2020
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Revealing the temporal dynamics in non-invasive electrophysiological recordings with topography-based analyses
bioRxiv 2019
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Can computers understand word meanings like the human brain does? Comparable semantic representation in neural and computer systems
bioRxiv 2019
Teaching
- TA Artificial Intelligence for Microscopy Image Analysis Summer School MBL Aug 2025
- TA EE/CS149: Large Language and Vision Models Caltech Spring 2024
- TA Deep Learning for Microscopy Image Analysis Summer School MBL Aug 2023
- TA Computational Neuroscience Summer School NeuroMatch Academy Jul 2021
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.