Summary
Leo Lo is a data engineer and PhD in Computer Science with 11 years of experience specializing in data visualization, human-computer interaction, and applied machine learning. He leads interdisciplinary research and development efforts that span detecting and preventing misinformation, behavior-change applications, and educational visual analytics, and has moved research prototypes into full-stack, production-ready deployments. Currently at RBC/Borealis in Toronto, he combines rigorous academic training from HKUST with hands-on engineering across cloud, ML, and visualization stacks. Colleagues know him for bridging user-centered research with scalable data systems and for pursuing sustainability-focused AI solutions that surface subtle, hard-to-detect misinformation signals.
12 years of coding experience