Yi-yun Ho is a Senior Scientist in Translational Imaging with over a decade of experience applying machine learning, signal processing, and computational biology to discover and validate biomarkers for brain diseases. She blends deep technical expertise—Python, MATLAB, TensorFlow, CNNs, HMMs, UMAP/PCA, scRNA-seq pipelines—with extensive hands-on neuroscience skills including stereotaxic surgery, in vivo electrophysiology, and functional ultrasound imaging. Her work spans academia and industry, from developing Bayesian and reinforcement-learning models at MIT to building a 4D functional-imaging pipeline at the McGovern Institute that contributed to multiple BioRxiv publications and a Kavli-funded Neurodata award. Comfortable leading interdisciplinary teams and teaching large groups, she has co-led major events and mentored students while securing several research fellowships and grants. Based in Greater Boston, she brings a rare combination of wet-lab rigor and production-ready computational tooling that accelerates translation from animal models to clinical imaging.
10 years of coding experience
11 years of employment as a software developer
Master of Science (MS) Physics, Master of Science (MS) Physics at National Taiwan University
Doctor of Philosophy - PhD Neurobiology and Behavior, Doctor of Philosophy - PhD Neurobiology and Behavior at Cornell University
Contributions:2 releases, 18 commits, 10 PRs in 1 year 1 month
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Yi-yun Ho - Senior Scientist, Translational Imaging