Alistair Johnson.png

Alistair Johnson

Alistair is a Research Scientist and the Massachusetts Institute for Technology. Alistair has extensive experience and expertise in working with ICU data, having published the MIMIC-III and eICU-CRD datasets. His current research focuses on clinical epidemiology and machine learning for decision support.


Leo Anthony Celi

As clinical research director and principal research scientist at the MIT Laboratory for Computational Physiology (LCP), and as a practicing intensive care unit (ICU) physician at the Beth Israel Deaconess Medical Center (BIDMC), Leo brings together clinicians and data scientists to support research using data routinely collected in the process of care. His group built and maintains the publicly-available Medical Information Mart for Intensive Care (MIMIC) database and the Philips-MIT eICU Collaborative Research Database, with more than 12,000 users from around the world. MIMIC-III has been cited more than 500 times since 2016. In addition, Leo is one of the course directors for HST.936 – global health informatics to improve quality of care, and HST.953 – collaborative data science in medicine, both at MIT. He is an editor of the textbook for each course, both released under an open access license. "Secondary Analysis of Electronic Health Records" has been downloaded close to 500,000 times, and has been translated to Mandarin and Spanish. Finally, Leo has spoken in more than 30 countries across 6 continents about the value of data science in improving health outcomes.


Tom Pollard

St Michael’s Hospital team


Michaelia Young


Muhammad Mamdani

Director – Li Ka Shing Centre for Healthcare Analytics Research and Training, Li Ka Shing Knowledge Institute of St. Michael’s Hospital

Professor, University of Toronto

Dr. Mamdani is the Founding Director of the Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART) of the Li Ka Shing Knowledge Institute of St. Michael’s Hospital in Toronto. The LKS-CHART bridges advanced analytics including machine learning with clinical and management decision making to improve patient outcomes and hospital efficiency. Dr. Mamdani is also Professor in the Department of Medicine of the Faculty of Medicine, the Leslie Dan Faculty of Pharmacy, and the Institute of Health Policy, Management and Evaluation of the Dalla Lana Faculty of Public Health. He is also adjunct Senior Scientist at the Institute for Clinical Evaluative Sciences (ICES). Dr. Mamdani also is a member of the Human Drug Advisory Panel of the Patented Medicine Prices Review Board (PMPRB) and founded the Ontario Drug Policy Research Network (ODPRN) in 2008, which is among the world’s most impactful collaborations between researchers and drug policy decision-makers. Prior to his position at the LKS-CHART, Dr. Mamdani was the Founding Director of the Applied Health Research Centre (AHRC) of the Li Ka Shing Knowledge Institute of St. Michael’s Hospital, which is Toronto’s leading academic research organization focused on the design and implementation of multicentre clinical research initiatives. In 2010, Dr. Mamdani was named among Canada’s Top 40 under 40. Prior to joining the Li Ka Shing Knowledge Institute and St. Michael’s Hospital, Dr. Mamdani was a Director of Outcomes Research at Pfizer Global Pharmaceuticals in New York. Dr. Mamdani’s research interests include pharmacoepidemiology, pharmacoeconomics, and drug policy. He has published over 450 research studies in peer-reviewed medical journals, including leading journals such as the New England Journal of Medicine, the Lancet, the Journal of the American Medical Association, the British Medical Journal, and Annals of Internal Medicine. His research has been cited over 19,000 times. Dr. Mamdani obtained a Doctor of Pharmacy degree (PharmD) from the University of Michigan (Ann Arbor) in 1995 and subsequently completed a fellowship in pharmacoeconomics and outcomes research at the Detroit Medical Center in 1997. During his fellowship, Dr. Mamdani obtained a Master of Arts degree in Economics from Wayne State University in Detroit, Michigan. He then completed a Master of Public Health degree from Harvard University in 1998 with a concentration in quantitative methods, focusing on biostatistics and epidemiological principles.

Vector Institute Team

Andrea Smith

Andrea smith

Adrian Angquiangco.jpg

Adrian Angquiangco

Andrea Smith is the Director of Health Data Partnerships at the Vector Institute for artificial intelligence. Her work at Vector is focused on collaborating with health data stakeholders to increase access to analysis-ready data for Vector’s world-class machine learning researchers. A principle focus has been working with key partners to develop high performance computing infrastructure to enable machine learning researchers to work with population-level health data sets. Prior to joining Vector, Andrea worked with the Canadian Institutes of Health Research (CIHR) as the Manager, Major Initiatives where she was responsible for oversight and project management of a number of CIHR’s large-scale research investments. She received her Bachelors in Political Science and International Trade and is currently completing a Master of Health Informatics, both from the University of Waterloo.

Marzyeh Ghassemi.jpg

Marzyeh Ghassemi

Marzyeh Ghassemi is an Assistant Professor at the University of Toronto in Computer Science and Medicine, affiliated with the Vector Institute. Previously, she was a Visiting Researcher with Alphabet's Verily and a post-doc with Dr. Peter Szolovits at MIT. Professor Ghassemi has a well-established academic track record in personal research contributions across computer science and clinical venues, including KDD, AAAI, MLHC, JAMIA, JMIR, JMLR, Nature Translational Psychiatry, and Critical Care. She is an active member of the scientific community, and co-organized the past three NIPS Workshop on Machine Learning for Health (ML4H).


Professor Ghassemi targets "Healthy ML", focusing on creating applying machine learning to understand and improve health. Past efforts have focused on improved prediction and stratification of relevant human risks with strong clinical collaborations, encompassing unsupervised learning, supervised learning, and structured prediction. Her work has been applied to estimating the physiological state of patients during critical illnesses, modeling the need for a clinical intervention, and diagnosing phonotraumatic voice disorders from wearable sensor data. Prior to MIT, she received an MSc. degree in biomedical engineering from Oxford University as a Marshall Scholar, and B.S. degrees in computer science and electrical engineering as a Goldwater Scholar at New Mexico State University.


Professor Ghassemi’s work has been featured online, in popular press such as MIT News, NVIDIA, Huffington Post. She was also recently named one of MIT Tech Review’s 35 Innovators Under 35.


Maya Kwasnycia

Shems Saleh

Shems Saleh

Shems Saleh is the technical lead in the industry innovation team at the Vector Institute, where she helps in bridging research and industry, including developing and managing Vector partners' Face to Face with researchers.

 Shems has a master's degree in computational healthcare from the University of Toronto, with a Vector Institute and SickKids Hospital affiliation where she worked under the supervision of Dr. Anna Goldenberg. She got her undergraduate degree from the University of Toronto in Computer Science and Neuroscience with a focus on Artificial Intelligence.


Tasmie Sarker


Vinith Suriyakumar