Po-hsuan Huang is a Senior Machine Learning Engineer and computational neuroscientist with a PhD from USC and a decade of experience applying AI to healthcare and vision tasks. He developed a robust, assumption-free semi-supervised learning algorithm that notably improved Parkinson’s detection and led a high-throughput eye-tracking pipeline to screen neurological disorders across age groups. His work blends computer vision, visual biometrics, and systems neuroscience—achieving practical wins like marathon bib OCR at Acer and clinical-grade predictions of sex and age from oculomotor signals. Po-hsuan has a track record of translating research into deployable solutions, pioneering lifelong learning approaches with massive speedups and resilient models that tolerate noisy annotations. Based in Newton, MA, he pairs academic rigor with product-minded engineering across startups and research labs.
10 years of coding experience
2 years of employment as a software developer
Doctor of Philosophy - PhD Neuroscience, Doctor of Philosophy - PhD Neuroscience at University of Southern California
Master of Science (M.Sc.) From Eberhard Karls Universität Tübingen Neural Information processing, Master of Science (M.Sc.) From Eberhard Karls Universität Tübingen Neural Information processing at University of Tübingen
Bachelor of Science (BS) physics, Bachelor of Science (BS) physics at National Tsing Hua University
Contributions:8 pushes, 1 branch in 4 years 4 months
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Po-hsuan Huang - Algorithm Engineer at Dynocardia, Inc.