Hui Qu is a Machine Learning Engineer with nine years of experience, currently leading video generation and editing research as an ML Engineer 5 at Adobe in San Jose. With a Ph.D. in Computer Science from Rutgers and prior work as a Senior Applied Scientist and Applied Scientist at Adobe, Hui bridges cutting-edge research and production deployment of generative video models. Their background includes medical imaging and federated learning internships (Siemens Healthineers, Weill Cornell) and pathology/vision research at SenseTime, reflecting a strong foundation in applied deep learning for both healthcare and multimedia domains. Colleagues describe Hui as someone who turns complex research ideas into robust product features—often drawing on interdisciplinary insights from imaging, genetics, and large-scale model engineering.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Computer Science, Doctor of Philosophy (Ph.D.) Computer Science at Rutgers University–New Brunswick
Master’s Degree Image processing and computer vision, Master’s Degree Image processing and computer vision at Shanghai Jiao Tong University
Gene mutation and pathway activity prediction from H&E slides
Contributions:6 commits, 1 PR, 1 push in 1 year 3 months
mutationpredictionpathwaybioinformaticsgene
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