Venkata R. Duvvuri

Blank male silhouette.

Scientist, Machine Learning

Research Focus

  • Public health microbiology
  • Genomic epidemiology
  • Antimicrobial resistance
  • Data science and machine learning
  • Infectious disease modelling
  • Phylodynamics and phylogeography

Publications

  1. 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.
  2. 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.
  3. 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.
View all publications by Dr. Venkata R. Duvvuri on PubMed.gov

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.”

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Contact

Media

media@oahpp.ca

Updated 15 May 2025