Venkata Duvvuri
Dr. Duvvuri is an Assistant Professor and leads an interdisciplinary research program advancing genomic surveillance research, development, and practice in the Department of Laboratory Medicine & Pathobiology at the University of Toronto. He is also a Scientist in Machine Learning at Public Health Ontario.

Areas of Expertise

  • data science and machine learning
  • genomic epidemiology
  • public health microbiology
  • one health approach
  • health administrative and Electronic Health Record (EHR) data

Appointments

Assistant Professor, Laboratory Medicine and Pathobiology, University of Toronto

Academic Degrees and Accreditations

  • 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

PHO Research Interests

  • Incorporate data science and machine learning into public health microbiology and genomics to develop risk discovery, assessment and prediction models
  • Develop combined genomic and epidemiological methods and approaches to study pathogen transmission and epidemic dynamics
  • Identify genomic biomarkers from pathogen genomes to develop novel and rapid molecular diagnostic tests and vaccine candidates using immunoinformatics
  • Accelerate public health surveillance and planning by integrating public health and healthcare strategies

PHO Research Activities

  • Develop a genome-based machine learning model to address challenges of antimicrobial resistance (AMR) in public health
  • Examine the evolutionary and transmission dynamics of viral (for example COVID-19, Respiratory syncytial virus (RSV)), bacterial and fungal pathogens using phylodynamics
  • Collaborate on the development of novel and rapid diagnostics for infectious diseases using immunoinformatics
  • Provide expertise in data science protocols and machine learning approaches
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