Short Bio I’m currently a Ph.D. student at Momentum Lab, Dept. of Computer Science at The University of Tokyo, working under the supervision of Prof. Lei Ma. I chose to “master out” and have graduated from University of Alberta. During my stay at UofA, I was fortunate to be funded by AMII for my M.Sc. study. My research interests primarily focus on the quality assurance of complex systems, with a particular emphasis on testing, analysis, monitoring, and verification techniques. In addition, I am also interested in exploring the robustness of AI models and developing Human-Computer Interaction (HCI) solutions for machine learning (ML) development. I also possess experience in AI stack and blockchain technologies. Before joining Momentum Lab, I was fortunate to work with Prof. Haoyu Wang, Prof. Dan Pei and Prof. Yuanchun Li.
Interests
- Quality Assurance of Complex AI Systems. This involves the exploration of how we can interpret, analyze, enhance, and safeguard AI systems in this direction.
- Robustness of AI Models. This involves a special focus on standalone AI modules such as CNN, RNN, and Transformers (LLMs).
- Machine Learning Operations. This involves designing interactive tools to alleviate the burdens of different stakeholders in leveraging, developing, and operating state-of-the-art AI techniques.