
Venkata R. Duvvuri

Scientist, Machine Learning
Research Focus
- Public health microbiology
- Genomic epidemiology
- Antimicrobial resistance
- Data science and machine learning
- Infectious disease modelling
- Phylodynamics and phylogeography
Publications
- Duvvuri V, Shire F, Isabel S, Braukmann T, Clark S, Marchand-Austin A, et al. Large scale analysis of the SARS-CoV-2 main protease reveals marginal presence of nirmatrelvir-resistant SARS-CoV-2 Omicron mutants in Ontario, Canada, December 2021-September 2023. Can Commun Dis Rep. 2024;50(10):365-74.
- Grunnill M, Eshaghi A, Damodaran L, Nagra S, Gharouni A, … Duvvuri V, et al. Inferring enterovirus D68 transmission dynamics from the genomic data of two 2022 North American outbreaks. Npj Viruses. 2024;2(1):34.
- Su Y, Chen D, Yuan D, Lausted C, Choi J, … Duvvuri VR, et al. Multi-omics resolves a sharp disease-state shift between mild and moderate COVID-19. Cell. 2020;183(6):1479-95.e20.
Education
- Postgraduate program in Artificial Intelligence and Machine Learning: Business Analytics, McCombs School of Business, The University of Texas at Austin
- Master of Public Health, School of Public Health and Health Systems, University of Waterloo
- Master of Science (Biology), Faculty of Science, York University
- Doctor of Philosophy (Zoology), Osmania University
Appointments
- Assistant Professor, Laboratory Medicine and Pathobiology, University of Toronto
Personal statement
“Public Health Ontario is a unique workplace that brings together experts in research, policy, and practice to protect and promote the health of Ontarians. Working at Public Health Ontario allows me to access a myriad of data sets to accomplish my goal to improve population health by addressing and providing answers to complex public health challenges.”
Updated
15 May 2025
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