Kaavya Ashok

Background

About Kaavya Ashok

I'm a biostatistician and public health professional passionate about building equitable, data-driven solutions in healthcare.Currently, I work at the Broad Institute of MIT and Harvard as a Computational Associate I, where I conduct large-scale statistical genetics research on type 2 diabetes and its intersection with social determinants of health.I use coding languages R and Python and tools like GEM and REGENIE to analyze millions of genomic data points across thousands of participants to help uncover insights that can inform precision medicine.My prior experience at the U.S.Department of Health and Human Services sharpened my understanding of healthcare strategy and policy, especially in drug pricing and equitable access.I've also led community-based research and advocacy efforts, including projects addressing menstrual equity and care access for underserved populations.My goal is to transition into the pharmaceutical or medtech space, where I can apply my strengths in data analysis, quantitative reasoning, and strategic thinking to support inclusive product development, from project estimation through product launch.I'm especially interested in roles that sit at the intersection of scientific innovation and commercial strategy, where analytical insight can drive real-world impact.