Summary
Chang Zhou is a software engineer and peer mentor pursuing a BASc in Computer Science at the University of Wisconsin–Madison with a decade of hands-on experience across AI research, front-end development, and algorithm engineering. He has contributed to AI emotion-recognition and autopilot model optimization at Fujian Normal University, built UI-focused web projects during a front-end internship, and applied machine learning workflows with TensorFlow and PyTorch in industry settings. Currently at Liba Space and mentoring peers at UW–Madison, he bridges academic rigor and product-oriented engineering to move novel AI ideas toward deployable systems. Comfortable across C, Python, and modern front-end stacks, he’s especially interested in applying emotion-aware AI to real-world interfaces—an intersection informed by both lab research and production internships.
10 years of coding experience