Xiaoxuan Jia is an associate professor and systems/computational neuroscientist with 12 years of experience at the intersection of neuroscience and machine learning, currently leading research at Tsinghua University. Previously a senior scientist at the Allen Institute, she co-led the Visual Coding Brain Observatory—Neuropixels effort and helped produce widely used public datasets and analysis code. Her work blends theory-driven models with large-scale electrophysiology to reveal how visual information is represented and dynamically routed across mammalian cortex. Earlier training at MIT and a PhD from Albert Einstein College of Medicine underpin a strong foundation in computational vision, unsupervised learning, and psychophysics. She also founded a BCI startup from the MIT IMPACT incubator, translating neural oscillation and feedback insights into anxiety-control interfaces. Colleagues note her rare combination of rigorous theory, hands-on dataset engineering, and an entrepreneurial drive to apply basic science.
12 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.), Neuroscience, Graduated with award, Doctor of Philosophy (Ph.D.), Neuroscience, Graduated with award at Albert Einstein College of Medicine
Massachusetts Institute of Technology
BS, Biomedical sciences and biotechnology, BS, Biomedical sciences and biotechnology at Tsinghua University
Contributions:13 commits, 10 pushes, 1 branch in 4 years 3 months
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