Savita Pareek

Savita Pareek is a Postdoctoral Associate at the MIT Sloan School of Management and the Schwarzman College of Computing’s SERC program, working with Professors Rahul Mazumder and Suzanne Flynn.

Her research focuses on interpretable machine learning methods and statistical inference tools with applications in healthcare, finance, and public policy. Current focus areas include explainable AI, differential privacy, and Rashomon inference. She previously held a postdoctoral position at Auburn University and earned her PhD in statistics from the Indian Institute of Technology Bombay.