Turning messy real-world data into clinical, payer, and policy evidence. 7+ years bridging medicine, causal inference, and health economics — from the ICU to the dataset.
Background
I started my career as a practicing physician in India, managing 600+ COVID-19 patients — including ICU cases — before pivoting to population-level evidence. That clinical foundation is what makes my epidemiologic work different: I understand the endpoints, the EHR workflows, and the clinical context that most data scientists don't.
Today I operate at the intersection of real-world evidence, causal inference, and health economics — building the kind of analysis that informs payer decisions, clinical guidelines, and drug strategy.
I'm actively seeking roles in pharma, biotech, and health consulting focused on RWE, HEOR, and clinical epidemiology.
Expertise
Career
Lead analyst on a 3-institution NIH-funded study generating real-world evidence on the cost-effectiveness of periodontal treatment in pregnant women.
Evaluating a federally-funded maternal & child health program across 12,000+ participants, leading data systems and statistical analysis.
Recognition
Research & Projects
My dissertation asks a deceptively simple question: can we emulate the randomized trial we wish we had — using only messy, real-world EHR data? Using sequential target trial frameworks, I'm building a causal inference approach to evaluate time-varying treatment strategies in acutely ill inpatients. The core challenge is translating rigorous trial logic into observational data where treatment is confounded by indication, timing is dynamic, and patients drop out in non-random ways.
The full methodology and findings are being prepared for publication — but the implications are direct: if this framework works, it creates a template for evidence generation in populations that can't easily be randomized, with applications across pharma RWE strategy and payer decision-making.
Scholarship
Let's Connect
Actively seeking RWE, HEOR, and clinical epidemiology roles in pharma, biotech, and health consulting.