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Assistant Professor

Venkata Duvvuri

Department of Laboratory Medicine & Pathobiology

PhD, MPH

Venkata Duvvuri

Venkata.Duvvuri@oahpp.ca

647-417-9809

Website

Location
Public Health Ontario
Address
661 University Avenue, Toronto, Ontario Canada M5G 1M1
Research Interests
Artificial Intelligence, Infectious Diseases & Immunopathology, Genetics Genomics & Proteomics
Graduate Faculty
Yes
Appointment Status
Primary
Accepting
Accepting PhD students

Dr. Duvvuri leads an interdisciplinary research program advancing genomic surveillance research, development, and practice.

His research, broadly termed “AI in Public Health Microbiology,” focuses on:

  1. Data Science, AI, and Machine Learning (ML): to incorporate data science and ML into public health microbiology and genomics to develop disease transmission, track AMR, and risk discovery, assessment, and prediction models.
  2. Applied Genomic Epidemiology: Combined genomic and epidemiological methods (phylodynamics) to study epidemic potential and disease transmission and evaluate intervention programs.
  3. Immuno-informatics: to identify biomarkers from pathogen genomes to develop novel and rapid molecular diagnostic tests and vaccines. 

Selected publications

Long GS, Neale M, Braukmann T, Tran V, Singh N, Allen V, Morshed M, Minion J, Van Caeseele P, Vallée M, Hatchette T, Patel SN, Tsang RSW, Duvvuri VR. Genomic Analysis of Doxycycline Resistance-Associated 16S rRNA Mutations in Treponema pallidum Subspecies pallidum. Emerg Infect Dis. 2026 Feb;32(2):242-245.

Long G, Singh N, Patel S, Braukmann T, Tsang RSW, Duvvuri VR. Integrated genomic approaches improve Treponema pallidum phylogenetics and lineage classification. Can J Microbiol. 2025 Jan 1;71:1-11.

Singh N, Braukmann TWA, Neale M, Long GS, Stein D, Van Caeseele P, MacKenzie KD, Minion J, Van Domselaar G, Graham M, Tyler A, Patel SN, Duvvuri VR, Tsang RSW. Complete genome sequences of two Treponema pallidum subsp. pallidum specimens from Canadian patients. Microbiol Resour Announc. 2025 Oct 9;14(10):e0064125.

Nirmalarajah K, Aftanas P, Barati S, Chien E, Crowl G, Faheem A, Farooqi L, Jamal AJ, Khan S, Kotwa JD, Li AX, Mozafarihashjin M, Nasir JA, Shigayeva A, Yim W, Yip L, Zhong XZ, Katz K, Kozak R, McArthur AG, Daneman N, Maguire F, McGeer AJ, Duvvuri VR, Mubareka S. Identification of patient demographic, clinical, and SARS-CoV-2 genomic factors associated with severe COVID-19 using supervised machine learning: a retrospective multicenter study. BMC Infect Dis. 2025 Jan 28;25(1):132. 

Grunnill M, Eshaghi A, Damodaran L, Nagra S, Gharouni A, Braukmann T, Clark S, Peci A, Isabel S, Banh P, Plessis LD, Murall CL, Colijn C, Mubareka S, Hasso M, Bahl J, Mostafa HH, Gubbay JB, Patel SN, Wu J, Duvvuri VR. Inferring enterovirus D68 transmission dynamics from the genomic data of two 2022 North American outbreaks. Npj Viruses. 2024 Aug 2;2(1):34.

Duvvuri VR, Hicks JT, Damodaran L, Grunnill M, Braukmann T, Wu J, Gubbay JB, Patel SN, Bahl J. Comparing the transmission potential from sequence and surveillance data of 2009 North American influenza pandemic waves. Infect Dis Model. 2023 Feb 16;8(1):240-252. 

Duvvuri VR, Baumgartner A, Molani S, Hernandez PV, Yuan D, Roper RT, Matos WF, Robinson M, Su Y, Subramanian N, Goldman JD, Heath JR, Hadlock JJ. Angiotensin-Converting Enzyme (ACE) Inhibitors May Moderate COVID-19 Hyperinflammatory Response: An Observational Study with Deep Immunophenotyping. Health Data Sci. 2022;2022:0002. 

 Lee JW, Su Y, Baloni P, Chen D, Pavlovitch-Bedzyk AJ, Yuan D, Duvvuri VR, et al. Integrated analysis of plasma and single immune cells uncovers metabolic changes in individuals with COVID-19. Nat Biotechnol. 2022;40(1):110-20.

Su Y, Chen D, Yuan D, Lausted C, Choi J, Dai CL, Voillet V, 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.