Richard Wen is a Lead Data Scientist at the Centre for Global Health Research, Unity Health Toronto. He received a Bachelor in Geomatics with a Computer Science Minor from the University of Waterloo (2014), a Master of Spatial Analysis from Toronto Metropolitan University (2016), and a Doctorate in Geomatics Engineering from Toronto Metropolitan University (2023). He has held research positions at Unity Health Toronto as a Research Data Scientist (2022–2025), and the Dalla Lana School of Public Health, University of Toronto, as a Postdoctoral Fellow (2024–2025). His research focuses on implementing and evaluating intelligent systems for large scale outcomes; spanning large language models for verbal autopsy and national cause-of-death diagnostics, geospatial AI for road safety, and open health data infrastructure, with work conducted in Sierra Leone, India, and Canada. He is a Researcher at the Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) and the Data Sciences Institute (DSI), both at the University of Toronto, and serves as a peer reviewer for IEEE Access, the Journal of Artificial Intelligence Research, and several Springer Nature journals. Awards include the Dr. C. Ravi and Shanti Ravindran Award for Outstanding Doctoral Thesis, the Ontario Graduate Scholarship, the Queen Elizabeth Advanced Scholars award, and the Queen Elizabeth II Graduate Scholarship in Science and Technology award.
Richard Wen is a Lead Data Scientist at the Centre for Global Health Research, Unity Health Toronto. He received a Bachelor in Geomatics with a Computer Science Minor from the University of Waterloo (2014), a Master of Spatial Analysis from Toronto Metropolitan University (2016), and a Doctorate in Geomatics Engineering from Toronto Metropolitan University (2023). He has held research positions at Unity Health Toronto as a Research Data Scientist (2022–2025), and the Dalla Lana School of Public Health, University of Toronto, as a Postdoctoral Fellow (2024–2025). His research focuses on implementing and evaluating intelligent systems for large scale outcomes; spanning large language models for verbal autopsy and national cause-of-death diagnostics, geospatial AI for road safety, and open health data infrastructure, with work conducted in Sierra Leone, India, and Canada. He is a Researcher at the Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) and the Data Sciences Institute (DSI), both at the University of Toronto, and serves as a peer reviewer for IEEE Access, the Journal of Artificial Intelligence Research, and several Springer Nature journals. Awards include the Dr. C. Ravi and Shanti Ravindran Award for Outstanding Doctoral Thesis, the Ontario Graduate Scholarship, the Queen Elizabeth Advanced Scholars award, and the Queen Elizabeth II Graduate Scholarship in Science and Technology award.