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 trained in machine learning at Carnegie Mellon University, with a post-doctoral focus in computational biology and medicine. Her research is currently focused on developing machine learning methods that capture heterogeneity and identify disease mechanisms in complex human diseases as well as developing risk prediction and early warning clinical systems. Dr. Goldenberg is a recipient of the Early Researcher Award from the Ministry of Research and Innovation. She is strongly committed to creating responsible AI to benefit patients with a variety of health conditions.
Research interests: Translational physiology, Systems engineering, Critical care, Physiological modelling, Patient monitoring
Affiliations: Staff Physician, Director of Translational Engineering, Hospital for Sick Children; Project Investigator, Translational Medicine, Research Institute; Assistant Professor, Pediatrics, University of Toronto
Dr. Mazwi completed Cardiology and Critical Care fellowships at Children’s Hospital in Boston, Harvard Medical School. His clinical appointments are as a Staff Physician in Cardiology and Critical Care Medicine at the Hospital for Sick Children. His research roles include the William G. Williams Directorship in Cardiac Analytics and co-leading the AIM (Artificial Intelligence in Medicine) Initiative. He also directs the Clinical Translational Engineering Program in Critical Care that aims to create translational technical infrastructures that drive gains in clinician inference and patient outcomes. Dr. Mazwi is a founding member of the Laussenlabs (www.laussenlab.ca) research group at the Hospital for Sick Children, an Investigator in Translational Medicine at The Sickkids Research Institute and an Assistant Professor at the University of Toronto.
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: Large-scale computer models of brain circuits; Simulations of different brain states; Neuroinformatics
Affiliations: Scientific Director, Krembil Centre for Neuroinformatics; Senior Scientist, Centre for Addiction and Mental Health; Professor, University of Toronto; Faculty Affiliate, Vector Institute; Titular Professor, École polytechnique fédérale de Lausanne, Switzerland
Dr. Hill’s background is in Computational Neuroscience. Following post-doctoral studies in San Diego and Wisconsin, he joined the Computational Biology team at IBM Research. He has since led the development of multiple large-scale neuroinformatics infrastructures and initiatives, in the Blue Brain Project, European Human Brain Project, and served as the Executive and Scientific Director of the International Neuroinformatics Coordinating Facility in Stockholm. His research is focused on the cellular basis of brain states, and he has developed numerous large-scale models of cortical and corticothalamic systems during different conditions which have advanced the understanding of the mechanisms underlying diverse brain states.
Research interests: Open data; Critical care; Machine learning; Natural language processing
Affiliations: Scientist, Hospital for Sick Children; Research Affiliate, Massachusetts Institute of Technology
Dr. Johnson is a Scientist at the Hospital for Sick Children. He received his Bachelor of Biomedical and Electrical Engineering at McMaster University and successfully read for a DPhil at the University of Oxford. Dr. Johnson has worked in machine learning and healthcare for over a decade. Dr. Johnson has strived to overcome barriers to data access, and his work on MIMIC-III demonstrates the immense potential of publicly available data. His research focuses on enabling healthcare research, including the development of new database structures tailored for healthcare, algorithms for deidentification of rich clinical data, and tools for assessing data quality.
Research interests: Autism spectrum disorder; Neuroimaging; Network neuroscience; Neuroinformatics
Affiliations: PhD student, Hospital for Sick Children; PhD student, Dept. Medical Biophysics, University of Toronto
Morgado is a fourth-year MD/PhD student at the University of Toronto and is investigating changes to brain circuitry in Autism Spectrum Disorder using computational and statistical imaging-based methods. He also holds a master’s degree in medical imaging physics from the University of Toronto. Morgado co-founded the Artificial Intelligence in Medicine Student Society (AIMSS) to advance undergraduate medical education at the growing intersection of AI and healthcare and has co-authored several papers on AI in medical education and its clinical implementation.
Research interests: Clinical decision supports; Public health; Public health emergencies; Governance and regulation of ML in healthcare; Medical education
Affiliations: Medical Student, Fitzgerald Academy; Unity Health Toronto; 2019-2020 Graduate Research Fellow; Ethics of AI Lab; Centre for Ethics
Harish is a fourth-year MD/PhD student in Clinical Epidemiology and the Collaborative Specialization in Global Health at the University of Toronto and is investigating how digital technologies can support public health emergency response and promote resilient health systems. Harish is also a co-founder of the Artificial Intelligence in Medicine Student Society (AIMSS) to advance undergraduate medical education and has led the creation of position papers on AI in medical education for the Ontario Medical Students Association and Canadian Federation of Medical Students.
Salo is a talented project leader with project and financial management experience in the health care 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.