Summary
Clement Fung is a postdoctoral researcher and engineer with 11 years of experience working at the intersection of security, machine learning, and cyber-physical systems. He develops AI-driven anomaly detection and robustness techniques for industrial control systems and aerial drones, translating PhD research into practical defenses for critical infrastructure. His background spans industry research at Bosch and product-focused engineering at Oasis Labs and LinkedIn, giving him fluency from low-level distributed systems to cutting-edge ML models. He has published work on visual anomaly detection using diffusion models and led projects deploying privacy-preserving data sharing and confidential computation. Based in Pittsburgh with degrees from CMU, UBC, Lund and Waterloo, he combines systems thinking with rigorous experimentation and a knack for turning academic insights into production-ready tools. Colleagues describe him as someone who blends security-first rigor with creative ML solutions that handle real-world constraints.
11 years of coding experience
10 years of employment as a software developer
Thornhill Secondary School
Industrial Engineering, Industrial Engineering at Lund University
Doctor of Philosophy - PhD Societal Computing Computer Science, Doctor of Philosophy - PhD Societal Computing Computer Science at Carnegie Mellon University
Master of Computer Science Computer Science, Master of Computer Science Computer Science at The University of British Columbia
Bachelor of Applied Science (B.A.Sc.) Honours with Dean's Honours List Distinction Systems Design Engineering, Bachelor of Applied Science (B.A.Sc.) Honours with Dean's Honours List Distinction Systems Design Engineering at University of Waterloo
English, French, Chinese, Swedish