I'm a Teaching Fellow in Computer Science at CityUHK. My focus is AI-assisted teaching & learning — I build open-source tools that help run large-scale programming courses (600+ students) with self-learning agents and SocraticAI. My research background is in network information theory and combinatorial optimization.
I also lead digital-learning initiatives across the College of Computing at CityUHK.
My digital business card →Education
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PhD, Electrical Engineering and Computer Science (EECS)Massachusetts Institute of Technology (MIT) · 2010
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MEng, Electrical Engineering and Computer Science (EECS)Massachusetts Institute of Technology (MIT) · 2005
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BSc, Electrical Engineering and Computer Science (EECS)Massachusetts Institute of Technology (MIT) · 2004
Selected Teaching & Learning
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C. Chan, B. Suvernev, C. Zhao, Z. Wang — INTED 2026
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B. Suvernev, C. Zhao, Z. Wang, C. Chan — EDULEARN 2026
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C. Chan, B. Suvernev, Z. Wang, Q. Liang, C. Zhao — IEEE TALE 2025
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C. Chan, C. Zhao, W. T. Chau, Y. Zhou, Q. Liang, M. Lim — IEEE TALE 2023
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C. Chan, A. Kozhin, Q. Liang, G. Salter, R. Tang, C. Ye, C. Zhao — IEEE TALE 2022
Open Teaching Tools
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Self-contained, programmable online exam system.
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Serverless visual debugger for C++ (in-browser, via Pyodide).
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In-browser C++ visual tutor with an on-device AI assistant (WebLLM).
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Hermes-agent integration for Jupyter AI (Ask AI).
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Moodle plugin running a local Hermes Agent per student.
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Jupyter environments for the DIVE teaching platform.
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Interconnected Obsidian notes — Agentic Coding, Hermes Agent & Package Development (2,297 notes).