Raymond Tak-Yan Ng

Professor Raymond Tak-Yan Ng is a distinguished faculty member in the Department of Computer Science at the University of British Columbia's Faculty of Science. His research spans data mining, bioinformatics, health informatics, and natural language processing. He serves as the Director of the Data Science Institute at UBC and holds the Canadian Research Chair on Data Science and Analytics. Additionally, he works part-time as the Chief Informatics Officer at the PROOF Centre of Excellence for the Prevention of organ failures based at St. Paul's Hospital.

Professor Ng received his academic training at prestigious institutions:

• B.Sc. (Hons) in Computer Science from the University of British Columbia (1986)
• M.Math. in Computer Science from the University of Waterloo (1988)
• Ph.D. in Computer Science from the University of Maryland, College Park (1992)

Professor Ng's research focuses on developing data mining tools that place the human user front and center in the discovery process. His work emphasizes constraint-based mining, unified models for analysis and mining, performance optimization, and new data mining capabilities like outlier detection. In bioinformatics, he applies data mining techniques to link clinical and genomic data, particularly for cancer analysis. His health informatics research develops biomarker panels for conditions related to organ failures in hearts, lungs, and kidneys. His natural language processing work focuses on creating metadata from unstructured conversations to facilitate access to raw data.

Professor Ng has received numerous prestigious awards recognizing his contributions:

• Outstanding Paper Award
• Genome BC Award
• Academic Data Leader List
• Killam Research Prize
• Fellow of the Royal Society of Canada
• Bio-IT Best Practices Award
• CASCON Best Exhibit Award
• Best Paper Award from ACM SIGMOD

Professor Ng has supervised numerous graduate students, with doctoral dissertations completed from 2009-2021 and master's theses from 2013-2022 covering diverse topics from RNA-binding proteins to financial knowledge graphs. His research has been supported by significant grants enabling work at the intersection of computer science, healthcare, and data science. His collaborative approach has led to partnerships with medical researchers, clinicians, and industry partners to translate computational methods into practical healthcare applications.

Professor Ng leads the Data Systems and Mining Laboratory at UBC and is deeply involved with multiple research centers including the CAIDA (Centre for Artificial Intelligence Decision-making and Action), the Data Science Institute, the Blockchain at UBC initiative, and the Language Sciences Institute. He collaborates extensively with the PROOF Centre of Excellence and various health research institutes including the Centre for Heart Lung Innovation and the Providence Health Care Research Institute. His interdisciplinary work bridges computer science with clinical applications through partnerships with medical researchers and healthcare institutions.