Saket Hegde is a Research Analyst in the Modeling & Meta Analysis Team, located in Pharmerit’s New York City office. His expertise includes randomized and quasi-experimental evaluation research, development economics and computational social science.
Prior to joining Pharmerit, Saket worked at Credit Suisse, developing novel ways to use structured and unstructured data to improve technology infrastructure and workplace productivity. As a researcher and consultant, he has experience studying inequality in New York City neighborhoods and evaluating the effects of clinical mentorship on maternal and newborn outcomes in Western Kenya. Saket holds an MS in Computer Engineering from Rutgers University with a cross-disciplinary thesis in information science.