Aparna Keshaviah

Senior Statistician, Mathematica

As an applied statistician, Aparna Keshaviah brings advanced analytics and innovative data to clarify urgent questions across multiple public health arenas. Her translational approach to wastewater surveillance uses data integration and dynamic visualization to help officials manage infectious diseases and drug epidemics. She has conducted head-to-head comparisons of the safety and efficacy of breast cancer treatments to help clinicians tailor patient management decisions. And she has analyzed and validated psychiatric symptom profiles to inform the diagnosis and treatment of debilitating mental health conditions. Her work aims to communicate scientific findings to technical audiences, academic research communities, and the general public alike. Keshaviah is a 2006-2007 Fulbright fellow and holds a Master’s degree in biostatistics from the Harvard School of Public Health.

Authored Content

  • Dec 21 2021
    Blog Post Optimizing Disease Detection and Containment Through a #WasteBeforeCase Approach When a new public health threat emerges – like the highly infectious Omicron variant of the SARS-CoV-2 virus – detecting the first case before there has been widespread community transmission can be like searching for the proverbial needle in a haystack. Yet wastewater testing is a tool optimized to do just that. People infected with […] Aparna Keshaviah, Megan Diamond

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