Chao Wang is a Senior Applied Scientist with a Ph.D. in Electrical Engineering and a decade of experience applying machine learning to real-world systems, most recently improving ads measurement at Amazon after leading ML efforts for Ads Conversion Modeling and Google Lens at Google. His work bridges computer vision, graphics, and time-series modeling—spanning LSTM-based taxi demand forecasts that cut CO2 emissions and improve efficiency, HD mapping from crowd-sourced GPS with meter-level accuracy, and visual-search signal engineering for large-scale products. Comfortable moving models from research to production, he combines strong academic rigor with product-focused impact, having shipped features used in commercial advertising and visual search. Based in Fremont, CA, he brings a sustainability-minded perspective to applied ML and a track record of turning transportation and vision research into scalable, efficiency-driving systems.
10 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy (Ph.D.) Electrical Engineering, Doctor of Philosophy (Ph.D.) Electrical Engineering at University of California, Riverside
Bachelor’s Degree Optics/Optical Science, Bachelor’s Degree Optics/Optical Science at Huazhong University of Science and Technology
RGBD plane detection and color-based plane refinement
Contributions:28 commits, 31 pushes, 1 branch in 1 year 6 months
rgbdplane-detectionplane-refinement
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