Research interests: Pharmacoepidemiology; Drug policy research; Advanced analytics
Affiliations: Vice President, Data Science and Advanced Analytics, Unity Health Toronto; Odette Chair in Advanced Analytics, St. Michael's Hospital; Faculty Affiliate, Vector Institute; Senior Adjunct Scientist, IC/ES; Professor, University of Toronto
Dr. Mamdani founded the Ontario Drug Policy Research Network (ODPRN), the Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART), and the Applied Health Research Centre (AHRC) at St. Michael’s Hospital. Dr. Mamdani was previously named one of Canada’s Top 40 under 40. He has published approximately 500 research studies in peer-reviewed medical journals which have been cited over 35,000 times. Dr. Mamdani holds a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor), a fellowship in pharmacoeconomics and outcomes research at the Detroit Medical Center, a Master of Arts degree in Economics from Wayne State University, and a Master of Public Health degree from Harvard University with a concentration in biostatistics and epidemiological principles.
Research interests: Machine learning for healthcare
Affiliations: Varma Family Chair in Biomedical Informatics and Artificial Intelligence; Senior Scientist, Genetics & Genome Biology Program, SickKids Research Institute; Associate Research Director, Health and Faculty Member, Vector Institute; Associate Professor, Department of Computer Science, University of Toronto; AI Chair, CIFAR
Dr. Goldenberg obtained her PhD at Carnegie Mellon University in Machine Learning and did her post-doctoral training at Penn Centre for Bioinformatics and then the Donnelly Centre. She is the first Varma Family Chair in Biomedical Informatics and Artificial Intelligence (AI) at The Hospital for Sick Children (SickKids) Research Institute, where she also co-leads the AI in Medicine for Kids (AIM) initiative. She is a CIFAR AI Chair and a fellow of CIFAR’s Child and Brain Development group. Additionally, she is the Director of the AI in Healthcare Masters program at the UofT's LMP.
Dr. Devin Singh M.B.B.S, MSc (Computer Science)
Research interests: Clinical Automation, Artificial Intelligence, Health Systems, Public Health, Emergency Medicine
Affiliations: Assistant Professor, Faculty of Medicine and Department of Computer Science, University of Toronto;
Associate Scientist Track, Research Institute, Hospital for Sick Children; Paediatric Emergency Physician, Hospital for Sick Children; Co-Lead AI in Medicine (AIM), Hospital for Sick Children; Co-Founder & CEO, Hero AI (www.heroai.ca)
Dr. Singh is one of Canada's first physicians to specialize in clinical artificial intelligence. He is an emergency physician at The Hospital for Sick Children and holds a Masters in Computer Science degree from the University of Toronto. He is an Assistant Professor at the University of Toronto in both the Temerty Faculty of Medicine and the Division of Computer Science and is an emerging scholar helping to innovate the regulatory, privacy, and ethical landscape for AI in Canada. Most recently, he co-founded Hero AI, an innovative healthcare technology start-up dedicated to empowering patients and healthcare providers with AI.
Research Interests: Population health; Predictive modelling; Chronic disease prevention; Social determinants of health; Data-driven decision support
Affiliations: Institute for Better Health, Trillium Health Partners; ICES; Vector Institute; Schwartz Reisman Institute for Technology and Society
Dr. Laura C. Rosella is an epidemiologist and Associate Professor in the Dalla Lana School of Public Health at the University of Toronto and the Faculty of Medicine, where she holds a Canada Research Chair in Population Health Analytics. In 2020 she was appointed the inaugural Stephen Family Research Chair in Community Health at the Institute of Better Health, Trillium Health Partners. Her research is centred around population health and developing population-based predictive models to support health system decision-making. She innovates using diverse data sources and novel analytic approaches to inform better population health management and reduce health inequities. Dr. Rosella was awarded the Brian MacMahon Early Career Epidemiology Award by the Society for Epidemiologic Research and the Canadian Society for Epidemiology and Biostatistics Early Career Award.
Research Interests: Cancer; Genomics; Radiomics; Machine Learning; Artificial Intelligence; Precision Oncology; Biomarker discovery; Translational research; Research reproducibility; Open science
Affiliations: Senior Scientist, Princess Margaret Cancer Centre, University Health Network; Professor, Department of Medical Biophysics, University of Toronto
Dr. Haibe-Kains is a Senior Scientist at the Princess Margaret Cancer Centre (PM), University Health Network, and Professor in the Medical Biophysics Department of the University of Toronto. Dr. Haibe-Kains earned his PhD in Bioinformatics at the Université Libre de Bruxelles (Belgium). Supported by a Fulbright Award, he did his postdoctoral fellowship at the Dana-Farber Cancer Institute and Harvard School of Public Health (USA). He is now the Canada Research Chair in Computational Pharmacogenomics and the Scientific Director of the Cancer Digital Intelligence Program at PM. Dr. Haibe-Kains’ research focuses on the integration of high-throughput data from various sources to simultaneously analyze multiple facets of carcinogenesis.
Research interests: Machine Learning in healthcare, Transplantation, Liver Disease, Cancer & Immunity, Systems biology, Clinical trials, Translational research, ML algorithm development/deployment.
Affiliations: Hepatologist & Clinician-Scientist, Co-Lead of Transplant AI initiative, Ajmera Transplant Program;
Scientist, Toronto General Hospital Research Institute, University Health Network; Associate Professor, Division of Gastroenterology & Hepatology; Director, Clinician-Scientist Training Program, Department of Medicine, University of Toronto; Faculty Affiliate, Vector Institute
Dr. Mamatha Bhat completed her medical training at McGill University, Transplant Hepatology training at Mayo Clinic in Minnesota, and a PhD in Medical Biophysics at the University of Toronto. Dr. Bhat’s group has developed and is deploying ML algorithms trained on clinical and ‘omics data to optimize the long-term outcomes of transplant patients in a personalized manner. She has received the Polanyi Prize, Early Researcher Award from the Ministry of Research and Innovation, CASL/CIHR Research Excellence award, American Society of Transplantation (AST) Basic Science Career Development Award and is a Fellow of the AST.
Research Interests: Improving acute care delivery and outcomes through population health analytics.
Affiliations: Student Education Co-Lead, T-CAIREM, University of Toronto; Medical Student, Temerty Faculty of Medicine, University of Toronto; Clinical Epidemiology Student, Institute of Health Policy and Evaluative Sciences, University of Toronto
Gemma Postill is enrolled in the MD/PhD program at the University of Toronto where she is studying clinical epidemiology. Gemma previously completed her undergraduate degree at Western University where she studied One Health, which inspired her to become a clinician-scientist by highlighting the intersection of research and medicine as well as the need to take a systems-level approach to healthcare given the many factors that influence health. Interested in the intersection of social determinants, health, and technology, Gemma is using population health data, geospatial analysis, and machine learning to study both how and why rurality influences trauma outcomes in Canada.
Research Interests: Machine learning; Medical imaging; Example difficulty; Active learning; Federated learning
Affiliations: PhD Student, Department of Computer Science, University of Toronto; PhD Student, Vector Institute; Research Assistant, SickKids; Research Assistant, UHN KITE; Senior Academic Don – Student Life, Trinity College; Junior Fellow, Massey College
Abhishek Moturu is a third-year PhD student in the Department of Computer Science at the University of Toronto, Vector Institute, SickKids, and UHN KITE. His doctoral research interests lie in the developing deep learning tools for healthcare and medical imaging – specifically in developing theory for example difficulty, active learning, and federated learning. He also received his HBSc and MSc from the University of Toronto. His past projects include pediatric cancer detection in whole-body MRIs and automated facial pain detection in people with dementia. Abhishek is currently Senior Academic Don – Student Life at Trinity College and Junior Fellow at Massey College.
Salo is a talented project leader with project and financial management experience in the healthcare sector. Salo was previously a Program Manager for Project ECHO Ontario – Epilepsy Across The Lifespan, and responsible for operations of the province-wide epilepsy education program. She was also the Manager for the Medical Psychiatry Alliance (MPA) at the Hospital for Sick Children, where she managed the operations and execution of the MPA's Child and Youth Program, which included clinical, education and research projects. In 2013, Salo was the recipient of the Gordon Cressy Student Leadership Award for her volunteer and outreach activities at the University of Toronto.
• January Adams, MSc (she/her)
Data Governance and Quality Analyst
• Yolanda Durante (she/her)
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• Marianne So (she/her)
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