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Resume (English only)
Academic Achievements
His systems have been released as open-source projects and have drawn wide attention from open-source communities. Some of his techniques have been adopted for external or internal use by leading companies and nonprofits including Microsoft and Bosch. His work is extensively covered by various media outlets, including MIT News, Dataconomy, ScienceDaily, InfoQ, and Health IT Analytics.
Research Experience
Currently an Assistant Professor of Computer Science at the University of California at Davis, directing the Visualization and Intelligence Augmentation (VIA) research group. Formerly a postdoctoral associate at MIT Schwarzman College of Computing, working in the Data To AI group.
Education
Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology, supervised by Prof. Huamin Qu; Postdoctoral Associate at MIT Schwarzman College of Computing, working with Dr. Kalyan Veeramachaneni in the Data To AI group
Background
Research Interests: Machine Learning, Visualization, Human-Computer Interaction. Professional Field: Designs and develops visualization-empowered human-AI teaming systems to augment human intelligence for data-driven decision-making. Summary: Pursues 'big data, intelligent algorithms, intuitive interfaces' to bridge data gaps, making the data-to-decision process more efficient, effective, and trustworthy.
Miscellany
Major Application Areas: Environmental Sustainability, Health Informatics, Urban Informatics