Temerty Professors in AI Research and Education in Medicine
The Temerty Professor in AI Research and Education in Medicine is an appointed role where a leading researcher collaborates with the T-CAIREM leadership team to enhance the use of AI in healthcare. This comprehensive professorship covers the full spectrum of AI applications in health, including the development, implementation, dissemination, and responsible commercialization of machine learning and deep learning technology. The Temerty Professors also mentor the next generation of clinicians and scientists, foster collaboration between clinicians and data scientists, publish innovative research, secure funding, and present at international conferences.
Bo Wang
Dr. Wang is the Chief Artificial Intelligence Scientist at the University Health Network. He also holds the Canada CIFAR AI Chair at the Vector Institute. His research areas include machine learning and computational biology.
Dr. Wang obtained his PhD from the Department of Computer Science at Stanford University and has extensive industrial research experience at many leading companies such as Illumina and Genentech. His PhD work covers machine learning algorithms for solving problems in computational biology with an emphasis on integrative cancer analysis and single-cell analysis. Bo Wang’s long-term research goals aim to develop integrative and interpretable machine learning algorithms that can help clinicians with predictive models and decision support to tailor patients’ care to their unique clinical and genomic traits.
Amol Verma
Amol Verma is a physician, scientist, and Assistant Professor in General Internal Medicine at St. Michael’s Hospital and the University of Toronto and the 2023 Temerty Professor of AI Research and Education in Medicine at the University of Toronto. He is a health services researcher, studying and improve hospital care using electronic clinical data. Amol co-founded and co-leads GEMINI, one of Canada’s largest hospital clinical data research networks, which is collecting data from >30 hospitals in Ontario.
Amol completed medical training at the University of Toronto, a Masters degree at the University of Oxford as a Rhodes Scholar, and research fellowships through the Royal College of Physicians and Surgeons of Canada, the Canadian Frailty Network, and the AMS Healthcare AI and Compassion Fellowship.