Vinyas Harish, MD PhD
Analyst @ Engine Health Capital
Incoming PGY1 Anesthesiology Resident @ University of Toronto
Research Fellow, First60 Research Group @ Unity Health Toronto
Hello there!
I am a recent MD/PhD graduate of the University of Toronto's Temerty Faculty of Medicine and Dalla Lana School of Public Health. I have a background in computer science, AI, and digital health strategy. My expertise lies in leveraging data-driven solutions to enhance clinical decision-making, optimize health system performance, and strengthen resilience in crisis response. With 10 years of experience leading cross-functional teams, collaborating with policymakers, and developing AI-driven healthcare solutions, I thrive at the intersection of health systems, emerging digital technologies, and strategy. My work has been presented at global forums including the Bill & Melinda Gates Foundation, published in leading academic journals such as Nature Communications and JAMA Network Open, and applied in real-world health systems.
My PhD explored how digital technology can support public health emergency response and promote resilient health systems. I was tremendously fortunate to be co-advised by Dr. Laura Rosella, Canada Research Chair in Population Health Analytics, and Dr. Kamran Khan, infectious diseases physician and founder/CEO of BlueDot (a Toronto-based SaaS/DaaS start-up that helps governments and private enterprises build resilience to emerging infectious diseases). During grad school, I held fellowships at the Vector Institute for Artificial Intelligence and the Schwartz Reisman Institute for Technology and Society.
Upon completing rotations in the operating room, intensive care unit, and trauma bay, I discovered that I excel in high-stakes, dynamic environments requiring rapid problem-solving in interdisciplinary teams. I am excited to begin training in anesthesiology at the University of Toronto this July and further explore my interests in resuscitation, trauma, and pre-hospital medicine.
Previously, I was in the Biomedical Computation program in the School of Computing at Queen's University. During my time at Queen's, I conducted translational biomedical engineering research at the Laboratory for Percutaneous Surgery under the supervision of Dr. Gabor Fichtinger, Canada Research Chair in Computer-Integrated Surgery. My undergraduate research predominantly focused on designing and testing ultrasound-guided interventions for applications in surgical oncology, cardiology, and teaching clinical trainees procedural skills (e.g. line insertions and injections) within a competency-based framework.
A list of publications can be found on my Google Scholar page.
When I'm not learning how to care for patients or attempting to do some science, you can find me at my local climbing gym or yoga studio, cycling along the lakeshore, taking photos with my DSLR, and enjoying Toronto's unreal food scene.
News:
- 💼 May 2025 ➪ I learned I am remarkably bad at doing nothing when I have time off... and have joined Engine Health Capital to work on research in the health x cyber space!
- 🎉 March 2025 ➪ A dream come true, matched to the FRCPC Anesthesiology residency program at the University of Toronto!
- 📖 May 2024 ➪ Our ML analysis on the emergence and spread of dengue in Mexico and Brazil has been published in Nature Communications! This work received media coverage from the BMJ as well as numerous news outlets in Latin America!
- 📖 November 2023 ➪ Our piece on cyberattacks on Canadian health systems has been published in the Canadian Medical Association Journal (CMAJ)! This work received media coverage from Unity Health Toronto, the CBC, Medscape, the Toronto Star and more!
- 🎓 October 2023 ➪ Successfully defended my PhD! Special thanks to my examiners Dr. Nelson Lee from UofT's Institute for Pandemics and Dr. John Brownstein from Harvard's Boston Children's Hospital. My dissertation, entitled "Digital Epidemiology for Resilient Health System Response to Pandemics", can be found here.
- 🧳 June 2023 ➪ Presented my work on dataset shift in ML models during COVID-19 at the Conference for Health Inference and Learning (CHIL) in Boston! Paper forthcoming.
- 🧳 June 2023 ➪ Presented my work on auditing the quality of smartphone-based mobility data for digital epidemiology at Society for Epidemiologic Research (SER) in Portland!
- 🧳 May 2023 ➪ Presented my work on using ML to model the past, present, and future spread of dengue in Latin America at the Bill and Melinda Gate's Foundation's Institute for Disease Modelling (IDM) in Seattle!
- 🧳 May 2023 ➪ Presented my work on dataset shift in ML models during COVID-19 at Symposium on Artificial Intelligence for Learning Health Systems (SAIL) in Puerto Rico! Paper forthcoming.
- 📖 March 2023 ➪ Our piece on what clinicians in emergency medicine should know about ML has been published in the Canadian Journal of Emergency Medicine!
- 📖 March 2023 ➪ Our geospatial analysis of the burden of tropical diseases in Ontario has been published in PLOS Global Public Health!
- 📖 December 2022 ➪ My first thesis paper on public-private partnerships between health organizations and tech startups during COVID-19 has been published in PLOS Digital Health!
- 📰 May 2022 ➪ My research and leadership work was profiled by the University of Toronto MD Program!
- 🏆 April 2022 ➪ Awarded a Graduate Award in Data Science by the Data Science Cluster at the Dalla Lana School of Public Health!
- 💼 August 2021 ➪ Joining the Schwartz Reisman Institute for Technology and Society as a Graduate Fellow!
- 🏆 April 2021 ➪ Awarded a CIHR Canada Graduate Scholarship Doctoral's (CGS-D) for 2021-2023!
- 💼 March 2021 ➪ Joining the Vector Institute as a Postgraduate Affiliate!
- 🏆 February 2021 ➪ Awarded a 2021 AMMI Canada - CFID Medical Student Research Award to fund a geospatial analysis of the burden of tropical diseases in Ontario!
- 💼 December 2020 ➪ On the founding team of the Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM) - where I will be co-leading the development of educational initiatives for trainees at UofT and beyond!
- 🇨🇦 September 2020 ➪ Led the successful ratification of a position paper on AI in medical education for the Canadian Federation of Medical Students!