Zuowen Wang is a research engineer and Ph.D. candidate with nine years of experience at the intersection of machine learning, computer vision, and neuromorphic computing. Based in Zurich, he has led event-based vision initiatives—most notably hosting the Event-based Eye Tracking challenge at CVPR 2024—and conducts SW/HW co-design research for efficient deep learning and event-camera systems. His work spans edge computing, robustness of DNNs, and visual neuroprosthetics as part of EU-funded projects, combining hands-on algorithm development with hardware-aware optimization. He has a strong academic foundation from ETH Zurich, extensive teaching and mentoring experience, and a practical focus on translating neuromorphic research into real-world assistive technologies.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at ETH Zürich
Contributions:14 commits, 13 pushes, 1 branch in 3 months
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