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Vinyas Harish

UofT MD/PhD Candidate - Machine Learning for Health

Vinyas Harish is an aspiring clinician-scientist who recently completed his MD/PhD at the University of Toronto's Dalla Lana School of Public Health and Temerty Faculty of Medicine.13 He was a 2022-23 Schwartz Reisman graduate fellow, focusing on governance strategies for health institutions and private companies to partner effectively when leveraging new technologies during public health emergencies.13

Harish's research interests lie at the intersection of clinical medicine, artificial intelligence, and emergency preparedness. His background in computer science led him to explore how technical systems can impact healthcare delivery in real-world settings.3 He has worked on projects analyzing mobile phone data to understand urban greenspace use during COVID-19 and developing machine learning models to predict severe patient outcomes.3

In addition to his fellowship at the Schwartz Reisman Institute, Harish is also a Postgraduate Affiliate at the Vector Institute.4 He has received recognition for his work, including being named a prestigious UTAA Graduate Scholar.2

Harish's interdisciplinary approach combines insights from public health, medicine, and technology to address pressing issues in healthcare and emergency response.34

Highlights

2024 call for Schwartz Reisman faculty and graduate fellowships ...
2024 call for Schwartz Reisman faculty and graduate fellowships ...
Successful partnerships during health emergencies require effective ...
Successful partnerships during health emergencies require effective ...

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Vinyas Harish
Vinyas Harish, photo 1
Vinyas Harish, photo 2
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Location

Canada