Our Team

Muhammad Mamdani, PharmD, MA, MPH

Director
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.
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
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Anna Goldenberg, PhD

Research Co-Lead
Dr. Anna Goldenberg is a professor in the departments of Computer Science and Laboratory Medicine and Pathobiology. She is a Varma Family Chair in Biomedical Informatics and Artificial Intelligence at SickKids Research Institute, as well as a CIFAR AI Chair at the Vector Institute. She co-chairs AI in Medicine initiatives at both UofT and SickKids. Dr. Goldenberg trained in machine learning at Carnegie Mellon University with a postdoctoral focus in Computational Biology and Medicine. The current focus of her lab is on developing and deploying machine learning models to healthcare. Dr Goldenberg’s lab is strongly committed to creating responsible AI to benefit patients across a variety of conditions.
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
Email • Goldenberg Lab

Dr. Devin Singh, M.B.B.S, MSc (Computer Science)

Research Co-Lead
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.
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)
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Laura C. Rosella, PhD, MHSc

Education Lead
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.
Affiliations: Institute for Better Health, Trillium Health Partners; ICES; Vector Institute; Schwartz Reisman Institute for Technology and Society
Email • Twitter • Population Health Analytics Lab

Benjamin Haibe-Kains, PhD

Infrastructure Co-Lead
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.
Affiliations: Senior Scientist, Princess Margaret Cancer Centre, University Health Network; Professor, Department of Medical Biophysics, University of Toronto
Email • BHK Lab

David Rotenberg

Infrastructure Co-Lead
David Rotenberg is the Chief Analytics Officer at CAMH and the Operations Director of the Krembil Centre for Neuroinformatics at CAMH. In his role as Chief Analytics Officer, David is responsible for the management of clinical and research data assets, and enterprise analytics infrastructure. As Operations Director for the Krembil Centre for Neuroinformatics, David leads a team of informatics specialists with inter-disciplinary and cross-platform expertise, dedicated to supporting the Krembil Centre for Neuroinformatics and CAMH research programs. The informatics operations team administers high-performance computing and storage environments including the CAMH Neuroinformatics Platform, a sophisticated multi-scale, multi-modal data management system, and an Artificial Intelligence computing platform.
Email • CAMH website

Dr. Mamatha Bhat, MD, MSc, PhD, FRCPC

Partnerships & Engagement Lead
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.
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
Email • Twitter • Bhat Liver Lab

Gemma Postill, BMScH

Education Trainee Co-Lead
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.
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
Email • Google Scholar

Abhishek Moturu, HBSc, MSc

Education Trainee Co-Lead
Abhishek Moturu is a PhD candidate in the Department of Computer Science at the University of Toronto, Vector Institute for Artificial Intelligence, The Hospital for Sick Children, and UHN KITE Research Institute. His doctoral research interests lie in developing deep learning tools for healthcare and medical imaging – specifically in developing theory to better understand how deep learning models are affected by mislabeled, noisy, rare, or otherwise difficult data points. He also received his HBSc from Trinity College at the University of Toronto and an 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 also a Junior Fellow at Massey College.
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
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