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What do you do with Data Science?

My main interest and work in data science are focused on developing and applying analytical methods to inform data-driven and cost-effective decisions when the evidence base and data are shifting too quickly for any static decision to suffice (e.g., during outbreaks of novel pathogens). Through incorporating mathematical and computer simulation models, statistical and machine learning methods, and optimization techniques, my proposed methods provide mechanisms to combine data and evidence from various sources to inform cost-effective decisions in real-time. I have focused on several areas of application: designing adaptive policies to mitigate outbreaks of viral pathogens (e.g., SARS-CoV-2 and influenza), optimizing strategies to survey and interrupt the spread of antimicrobial-resistant bacteria such as N. gonorrhea and M. tuberculosis, developing methods for real-time data assembly and calibration of transmission models of infectious diseases, guiding the use of intensified tuberculosis interventions in high burden settings, and informing meningococcal vaccination strategies in Sub-Saharan Africa.

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