Epidemiologist & emerging HEOR/RWE analyst · MS Nutrition Epidemiology & Data Science, Tufts University (May 2026)
I build reproducible analytic pipelines and extract decision-ready insights from complex, multi-source real-world datasets — with a focus on aging cohorts, dietary epidemiology, and evidence synthesis.
- Longitudinal cohort analysis — aging, dietary intake, and clinical outcomes (NECS, HRS)
- Real-world evidence & outcomes research — observational study design, multivariable regression, survival analysis
- Evidence synthesis — systematic reviews and meta-analysis across RCTs and observational studies
- ETL & data engineering — harmonizing messy, multi-source clinical and dietary datasets into analysis-ready form
- Reproducible research — version-controlled pipelines from raw data ingestion through stakeholder-ready output
Statistical programming: SAS (advanced) · R · Python · SQL · Stata
Methods: Cox PH & Kaplan-Meier survival analysis · GEE · multivariable
regression · propensity scoring · meta-analysis · mixed-effects models
Data engineering: ETL pipeline design · multi-source harmonization ·
missing data assessment · QC protocols
Visualization & communication: ggplot2 · Tableau · Excel ·
translating RWE findings for clinical and executive audiences
See pinned repositories below ↓
| Project | Data | Methods |
|---|---|---|
| NECS Study | Aging cohort | GEE, regression, ETL |
| HRS Replication | Health & Retirement Study | Harmonization, replication |
| BRFSS Analysis | CDC population survey | Descriptive & inferential stats |
| Meta-Analysis | 50+ RCTs and cross-over studies | Data extraction, evidence synthesis |
🎓 MS, Nutrition Epidemiology & Data Science — Tufts University (May 2026)
🎓 BS, Public Health (Pre-Clinical) — UNC Wilmington, Magna Cum Laude
📍 Boston, MA · Open to RWE, HEOR, outcomes research, and research associate roles