Data Science Engineer · PharmD
Clinical Informatics & Real-World Data Specialist
PharmD by training, data engineer by trade. I came up through the CDC's Public Health Informatics Fellowship and spent the years since building OMOP CDM models and FHIR pipelines in Python, SQL, and R. My focus is real-world evidence and clinical interoperability, because claims and EHR data are only useful once someone's made them trustworthy.
Currently
Harmonizing multi-source claims and EHR data into OMOP CDM-style models, authoring statistical analysis plans, and serving as the client-facing data lead on real-world evidence work for pharma partners.
What I work with
Administrative claims & EHR harmonization, OMOP CDM, cohort design, statistical analysis plans.
FHIR, HL7 v2/CDA R2 (certified), SNOMED CT, RxNorm, LOINC, USCDI/USCDI+.
Python, R, SQL, Airflow, Neo4j/Cypher, Azure (Data Factory, Databricks, Synapse).
Journey
Client-facing RWE lead for a top pharma account — OMOP CDM harmonization, statistical analysis plans, and Neo4j graph models linking patient-drug relationships across ~2M patients.
FHIR Server integrations, CDC data governance, GenAI RAG tooling for regulatory/biomedical literature — awarded $10,000 from the Fast Prototyping Fund.
Data architect for NIOSH's ABLES surveillance program; led OMOP CDM adoption and FHIR/USCDI+ standards work for occupational health data.
Doctoral-level CDC fellowship — epidemiological modeling, NLP misinformation detection, and real-time travel/pandemic surveillance pipelines during COVID-19.
Emphasis in Informatics & Research. Explored clinical health informatics and discovered a pull toward medical data analytics.
Met Dr. Benjamin Allen, who introduced me to R programming — the spark that pointed me toward a career in informatics.
Skillset
OMOP CDMSNOMED CTRxNormLOINCHL7 v2 / CDA R2FHIRUSCDI / USCDI+PHIN-VADRPythonSQLAirflowNeo4j / CypherAzure (Data Factory, Databricks, Synapse)R ShinyStatistical Analysis Plans