Our Team

Leadership

Muhammad Mamdani, PharmD, MA, MPH

Executive 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 
Email • LinkedIn

Anna Goldenberg, PhD

Research Co-Lead
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.
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)
Email

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 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 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.
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
Email • LinkedIn

Zoryana Salo, PhD 

Centre Manager 
Ms. 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.
Email • LinkedIn

Trainee Affiliates

David Chen

Medical student, Temerty Faculty of Medicine
David Chen is interested in research at the intersection of statistics and healthcare: digital medicine. By using modern digital medicine tools including artificial intelligence, David aims to explore and characterize patterns at the molecular, cellular, and population level to inform the design of precise clinical therapies. Alongside academic pursuits, he is passionate about advocating for clinical learners to develop modern competencies in computation and statistics in an increasingly digitized field of medicine. David is incredibly excited to work with the T-CAIREM team to build educational programs and research for artificial intelligence in medicine.

Vivian Chu

PhD student, Department of Medical Biophysics, Temerty Faculty of Medicine
Vivian obtained her Bachelor of Science at the University of Waterloo in Molecular Genetics and Bioinformatics. Vivian’s doctoral research leverages deep learning to enhance the design and functionality of RNA-based therapies, such as RNA interference molecules and neoantigens, and multi-omic integration to guide personalized cancer treatment strategies and understand how different factors impact gene regulation. Beyond research, Vivian is passionate about bioentrepreneurship and building communities.
Twitter

Anglin Dent

MD/PhD student; Institute of Health Policy, Management, and Evaluation; Temerty Faculty of Medicine
Anglin holds an HBSc from the University of Guelph, an MSc from the University of Toronto, and is now entering her third year of the University of Toronto MD/PhD program. Her previous studies have involved the development and validation of AI tools for precision medicine in cancer care, as well as the examination of how to best integrate healthcare solutions in a way that complements, rather than replaces, current workflows. In her PhD at SickKids, Anglin is excited to conduct clinical validation studies of machine learning technologies for early diagnosis and personalized therapy in childhood asthma.
Google Scholar

Claire Fine

Family Medicine Resident, Department of Family and Community Medicine, Temerty Faculty of Medicine
Claire previously studied Engineering at McMaster University before obtaining her medical degree from McMaster. With work experience in data science and engineering, she's now completing her Family Medicine Residency at the University of Toronto and will start the Sport and Exercise Medicine Fellowship there. Passionate about concussion research, she's worked as a curriculum developer and would love to further innovation in this area. Claire has held roles such as North America Strategy lead at the Clinician Engineer Hub and founded ClinHacks, a global hackathon. Her aim is to revolutionize healthcare using her expertise in innovation, AI, and big data.
LinkedIn

Jethro Kwong

MSc candidate, Health Systems AI; Resident Physician, Division of Urology, Department of Surgery, Temerty Faculty of Medicine
Jethro is a urology resident in the Surgeon Scientist Training Program at the University of Toronto. He completed a Master’s degree in Health Systems Artificial Intelligence, focusing on applying AI to improve prognostication in bladder cancer. His primary research interests revolve around the application of AI in urology and improving quality of AI studies. His AI work has been published in high-impact journals including The Lancet Digital Health, NEJM AI, JAMA Network Open, and npj Digital Medicine. He is currently an Editorial Fellow at npj Digital Medicine and serves as an AI reviewer for several urological and digital health journals.
Google Scholar • Twitter

Armaan Malhotra

Neurosurgical resident; Division of Neurosurgery; Institute of Health Policy, Management and Evaluation; Temerty Faculty of Medicine
Armaan is a current fourth-year neurosurgical resident interested in pediatric neurosurgery, spinal surgery, and trauma. He is currently taking time away from surgical residency to pursue PhD studies through the Institute for Health Policy, Management and Evaluation, where he is working to better understand neurotrauma outcomes. Armaan has been involved in a team effort to optimize the provincial triage system for brain-injured patients by leveraging Artificial Intelligence-based clinical decision-support methods. He is passionate about understanding the intersection between AI solutions and health systems, with particular emphasis on implementation, bias, and risk.
Google Scholar  • Twitter

Julie Midroni

MD Student, Temerty Faculty of Medicine
Julie is a second-year medical student who holds a Bachelor of Science in biological physics from the University of Toronto. She has worked on a variety of projects, such as designing machine learning models to predict different health outcomes including dementia and radiation pneumonitis. She is also interested in using machine learning algorithms as mathematical analogues for biological processes, such as cell signalling. She believes that training healthcare professionals with a strong understanding of the strengths and weaknesses of AI is critical for the future of medicine, and hopes to work towards that in her new role at T-CAIREM. 
LinkedIn  

Sujay Nagaraj

MD/PhD Student, Department of Computer Science and Temerty Faculty of Medicine
Sujay is a 6th year MD/PhD student in Dr. Anna Goldenberg’s lab in the Department of Computer Science at the University of Toronto. His research focuses on machine learning in time-series data from wearable devices. Sujay has worked on several projects involving such multimodal time-series data from sensors “in the wild”. Dealing with the multiple modalities, scale, sparsity, and noise can be challenging. Sujay is also pursuing some core ML research centred around robust learning from noisy labels, which is a real-world challenge when working with observational health data. In addition to time-series data from wearable devices, Sujay is working in the SickKids paediatric ICU to build and deploy models on high-frequency physiological time series data as well.
Twitter• Website

Konrad Samsel

Master's of Public Health Student, Division of Epidemiology, Dalla Lana School of Public Health
Konrad is a graduate epidemiology student and a 2024 AI for Public Heath Trainee researching the use of NLP models to improve population health. During his previous undergraduate studies, he focused his research on better incorporating patient perspectives in healthcare decision-making, leading technical and knowledge mobilization projects on this topic. He is a former laboratory instructor at the Faculty of Medicine and has contributed to projects at the Engineering Hatchery, School of Cities, and Institute for Biomedical Engineering. Since 2021, he has helped organize nine quality improvement and patient safety projects with healthcare institutions in the Greater Toronto Area. 
LinkedIn  

Samantha Unger

PhD student, Institute of Biomedical Engineering, Faculty of Applied Science and Engineering
Samantha is a PhD student in Biomedical Engineering, developing wearable devices for monitoring cardiovascular health. She holds a Bachelor of Applied Science in Engineering Science from the University of Toronto with a major in Biomedical Engineering and a minor in Artificial Intelligence. She has previously conducted research in synthetic biology, electrical engineering, machine learning, and psychiatry. Samantha is passionate about the intersection between biomedical engineering and artificial intelligence, and how to approach design in an ethical and equitable way. Outside of the lab, Samantha enjoys making pottery and exploring Toronto for new ice cream flavours.
LinkedIn

Support Staff

January Adams, MSc (she/her)

Data Governance and Quality Analyst
January has an undergraduate degree in Applied and Computational Mathematics from the University of Manitoba and a Master's degree in Mathematical Modelling and Scientific Computing from the University of Oxford. She has worked and researched in the fields of mathematical biology, numerical analysis, and data analysis for epidemiology and public health, and now works in development and data stewardship on the T-CAIREM Health Data Nexus. She enjoys movies, writing fiction, and her small black cat.
Email •  LinkedIn

Dominic Ali (he/him)

Communications Specialist
Dominic has degrees in Communications from York University and Journalism from Ryerson University (now Toronto Metropolitan University). He is the author of the kids’ media literacy book Media Madness: An Insider’s Guide to Media and has worked with organizations such as CBC Radio and the David Suzuki Foundation. As a communications consultant, he has worked with several non-profits around the world including Jamaicans For Justice and Brazil Child Health. When not writing, he is a lifelong learner who frequently takes courses ranging from marketing to stand-up comedy.
Email • Tel: 647-378-6425 • LinkedIn

Yolanda Durante-Slewa (she/her)

Administrative Assistant
Yolanda Durante-Slewa holds a Bachelor of Arts in Psychology from Ryerson University and she's now an administrative assistant within T-CAIREM at the University of Toronto. She has worked in the field of medicine and mental health. Yolanda is passionate about AI in medicine and its potential to revolutionize healthcare, which she believes will positively benefit our current generation and the generations to come.
Email • Tel: 416-946-0321 • LinkedIn

Marianne So (she/her)

Curriculum and Event Coordinator
Marianne holds an Honours Bachelor of Arts in Economics and Urban Geography from the University of Toronto and is T-CAIREM’s Curriculum and Event Coordinator. She enjoys travelling, hiking, volunteering and is passionate about checking off bucket list items whenever she can.
Email • LinkedIn

 Rutvik Solanki (he/him)

Software Engineer
Rutvik Solanki is a highly skilled Software Engineer with a Master's degree in Engineering from the University of Toronto. Currently, he is employed with the Infrastructure Team at T-CAIREM, where he specializes in developing, deploying, and maintaining distributed systems within event-driven architectures. Rutvik brings extensive experience in tackling diverse projects aimed at solving real-world challenges. Driven by a passion for leveraging technology to tackle critical societal challenges, he is committed to pioneering innovative solutions within his domain.
Email • Linkedin