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