Bio
RESEARCH
My research develops interpretable statistical and machine learning models to characterize how type 2 diabetes varies between individuals and evolves over the life course. I bring a cross-disciplinary background of bioengineering, pharma consulting, nutrition, data science, and mental health to understanding cardiovascular and metabolic disease challenges in low-, middle-, and high-income settings. I collaborate with clinicians, academics, startups, and non-profits to build tools that translate this work into practice.
Publications: Google Scholar
Ongoing Work: Personal Website
Past Work: Lab Website
Areas of Interest
- Social Epidemiology
- Mental Health
- Diabetes
- Machine Learning
Education
- B.Tech. in Biotechnology, IIT Madras
- M.Tech. in Biotechnology, IIT Madras
- PhD in Nutrition and Health Sciences, Emory University
Affiliations
In The News
New & Notable
Advancing Diabetes Solutions
Integrated Surveillance and Monitoring Framework Could Help Combat Diabetes Globally
A new Rollins-led viewpoint analyzes India's diabetes surveillance and monitoring system for strengths, weaknesses, and opportunities for improvement.