7 projects spanning causal inference, health economics, EHR analytics, AI tools, and program evaluation — from dissertation to consulting.
01 · PhD Dissertation
The central question of my dissertation is methodological and consequential: can we rigorously emulate a randomized controlled trial from observational electronic health record data in acutely ill inpatients — where treatment assignment is deeply confounded by indication?
Using the framework of target trial emulation, I am building a sequential analysis approach to evaluate time-varying treatment strategies in patients hospitalized with acute decompensated heart failure. The real-world EHR environment presents compounding challenges: treatments change with clinical trajectory, patients drop out non-randomly, and the very sickness that drives treatment also drives outcomes.
My approach draws on sequential treatment strategies, carefully constructed eligibility criteria that mirror a hypothetical trial's enrollment logic, and causal inference methods designed for time-varying exposures. The goal is to produce estimates of treatment effectiveness that are both internally valid and directly relevant to the clinical decision points practitioners actually face.
The broader implication: this framework, if validated, creates a replicable template for evidence generation in populations that cannot easily be randomized — with direct applications to RWE strategy in pharma drug development, post-market surveillance, and payer coverage decisions.
Full methodology and findings are in active development and being prepared for manuscript submission. Details available upon request for legitimate research discussion.
HEOR · RWE · Causal Inference
Co-investigator and lead analyst on a 3-institution NIH-funded study generating real-world evidence on the cost-effectiveness of periodontal treatment in pregnant women. This project spans four interconnected analyses — each producing standalone evidence with direct payer and clinical relevance.
Epidemiology · National Population Study
A national cross-sectional study in collaboration with the American Dental Association examining dental care utilization patterns among childbearing-aged women with self-reported systemic conditions, using the ADA's national patient-reported outcomes dataset.
EHR Analytics · Consulting
A data-driven consulting engagement using EHR data from 250,000+ patient records to identify drivers of hospital-acquired infections (HAIs), length of stay, and clinical outcomes — and deliver an actionable prevention strategy.
Program Evaluation · Maternal Health
Evaluating a federally-funded maternal and child health program at PRISMA Health — leveraging real-world longitudinal data to assess maternal and perinatal outcomes across 12,000+ participants.
Survival Analysis · Multi-Center Registry
Multi-center registry analysis examining conditioning regimen effectiveness and survival outcomes in children undergoing allogeneic hematopoietic cell transplantation (HCT) for severe aplastic anemia (SAA) — using competing-risk models to separate relapse from transplant-related mortality.
AI · Data Science · Python
Building scalable tools that amplify and automate analytic workflows — from clinical NLP to strategy backtesting engines.