Leadership Team

T-CAIREM Director
In addition to serving as Director of T-CAIREM, Dr. Mamdani is the Clinical Lead for AI at Ontario Health, where he develops and implements approaches to promote widespread AI adoption across Ontario to enhance healthcare system efficiency, patient outcomes, and healthcare providers' experience. In his previous role, he was the VP of Data Science and Advanced Analytics at Unity Health 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. He was previously named among Canada’s Top 40 under 40 and has published approximately 600 research studies in peer-reviewed medical journals, which have been cited over 50,000 times. He holds a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor), a fellowship in pharmacoeconomics and outcomes research from the Detroit Medical Center, a Master of Economics from Wayne State University, and a Master of Public Health degree from Harvard University with a concentration in biostatistics and epidemiological principles.

Partnerships & Engagement Lead
Dr. Mamatha Bhat co-leads UHN's Ajmera Transplant Centre's Transplant AI initiative and directs the Clinician-Scientist Training program at the Department of Medicine. She 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 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.

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.

Education Lead
Dr. Laura C. Rosella is a Full Professor and Division Head of Epidemiology at the Dalla Lana School of Public Health, University of Toronto, where she holds a Tier 1 Canada Research Chair in Population Health Analytics. She is an internationally recognized leader in population health data science, known for developing and applying advanced analytic methods, predictive models, and linked data approaches to improve population health, health system planning, and chronic disease prevention. She founded the Population Health Analytics Lab and has authored more than 330 publications spanning data science, AI, predictive modelling, population health management, and health system planning. Dr. Rosella is also Chief Scientist at the Institute for Better Health, Trillium Health Partners, and serves on the Executive team for the Trillium AI for Better Health Strategy, where she helps lead the responsible development and scaling of AI capability in the hospital setting. She has received numerous honours, including Canada’s Top 40 Under 40, election to the Royal Society of Canada, the CIHR-IPPH Mid-Career Trailblazer Award, and election in 2025 as a Fellow of the Canadian Academy of Health Sciences.

Education Trainee Co-Lead
Gemma Postill is an MD/PhD candidate at the University of Toronto. Her research focuses on the development and evaluation of artificial intelligence methods for personalized prognostication, with the goal of improving how clinicians and patients understand and plan for future health outcomes. She is particularly interested in using machine learning to predict outcomes that matter to patients (such as recovery and long-term health trajectories), enabling more informed, timely, and patient-centred decision-making. Her work aims to move beyond one-size-fits-all care toward approaches that better reflect the complexity of individual patients, ultimately supporting care that is more aligned with patients’ goals and lived experiences. In parallel, as Education Trainee Co-Lead at the Temerty Centre for AI Research and Education in Medicine (T-CAIREM), she develops and delivers educational programs for learners and professionals engaged in AI in healthcare. Through this work, she advances AI literacy and helps build the shared language and skills needed to support the safe, effective, and equitable implementation of AI in clinical practice.

Education Trainee Co-Lead
Abhishek Moturu is a PhD candidate in Computer Science at the University of Toronto, where his research focuses on training robust machine learning models in the presence of noisy, mislabelled, synthetic, or otherwise challenging data. His doctoral research spans pediatric cancer detection at SickKids, facial pain detection in older adults with dementia at UHN, and noisy learning and medical vision-language models at the Vector Institute.  He also received his HBSc from Trinity College at the University of Toronto and his MSc from the University of Toronto. He is an Education Trainee Co-Lead at T-CAIREM, advancing AI literacy and AI governance in healthcare and medicine. He is also a Junior Fellow at Massey College. 

Infrastructure Co-Lead
Dr. Benjamin Haibe-Kains is the Executive AI Scientific Director at the University Health Network, a Senior Scientist at the Princess Margaret Cancer Centre, University Health Network, and a Professor in the Department of Medical Biophysics at the University of Toronto (Canada). He earned his PhD in Bioinformatics from the Université Libre de Bruxelles (Belgium) and pursued postdoctoral training at the Dana-Farber Cancer Institute and the Harvard School of Public Health (USA) as a Fulbright Scholar. Dr. Haibe-Kains holds the Canada Research Chair in Computational Pharmacogenomics and serves as Scientific Director of the Cancer Digital Intelligence Program at Princess Margaret and the AI Hub at the University Health Network. He is also Director of Data Science at the Structural Genomics Consortium. His research harnesses artificial intelligence (AI) and machine learning (ML) to integrate large-scale chemical, radiological, and (pharmaco)genomic datasets. By developing predictive models for drug development, cancer progression, and treatment response, his team aims to accelerate innovation in precision medicine and ultimately improve patient outcomes.

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.