Raj V.


Though originally from Ann Arbor, MI (go Blue!), Raj eventually made his way to Cambridge, MA, where he attended Harvard College. There, he graduated magna cum laude with an AB in Applied Mathematics and a minor in Global Health and Health Policy, and was inducted into the Phi Beta Kappa academic honor society. Raj’s passion for health policy and for applying quantitative methods to questions in public health were influenced by his work on TB innovation policy at the Stop TB Partnership in Geneva, Switzerland, and his research on bias in causal inference at the TH Chan School of Public Health. Upon graduating, Raj enrolled at Harvard Medical School, where he is now a 4th-year student in the Harvard/MIT MD-PhD Program. Raj’s PhD is in Health Policy (Methods for Policy Research), and his research interests broadly involve evaluating strategies to enhance maternal health outcomes and health equity domestically and abroad.

Raj has volunteered as a peer tutor in science and math since he was in high school and finds immense meaning in helping students who are initially struggling with a subject realize the breadth of their abilities. As a leader of the Peer Advising Fellows program and current Resident Tutor at Harvard College, Raj has also mentored numerous undergraduate students in their general academic and pre-medical pursuits. His core interests as a tutor include supporting students in quantitative (eg, math and statistics) and health policy coursework and offering strategic coaching to students interested in pursuing advanced degrees in health and medicine.

Outside of school, Raj loves hiking, playing sports, jamming out to South Asian music, and spending time with friends. He’s a lifelong Michigan Wolverines and Rafael Nadal fan and can frequently be found obsessing over both.


Education & Qualifications
  • Harvard Medical School, MD/PhD Candidate in Health Policy (Decision Sciences)
  • Harvard College, BA in Applied Mathematics, Global Health & Health Policy
  • Computer Science
  • Economics
  • Mathematics
  • Medicine/Health
  • Software
  • Statistics
  • GRE