1.5M+pathology pages digitized
Molecular diagnostics · Clinical data engineering · Medical imaging AI
Building reliable diagnostics and data systems for better patient care.
I’m a Senior Medical Laboratory Scientist, researcher, and data engineer working across infectious-disease testing, clinical analytics, and reproducible medical imaging AI.
11 TBimaging analysis
12research outputs
SMB(ASCP)specialist credential
Greater Boston · Massachusetts General Hospital · Brigham and Women’s Hospital
01 / About
Laboratory rigor, engineered into data systems.
My work sits where clinical laboratory science meets software engineering. I move between assay performance, healthcare data, and reproducible research—with the same goal in each setting: make complex systems more reliable and useful.
Validate
Translate analytical requirements into dependable clinical testing.
Automate
Replace repetitive reporting and fragmented data flows with durable tools.
Reproduce
Build research workflows that others can inspect, rerun, and extend.
02 / Selected work
Clinical impact through systems thinking.
01Clinical diagnostics
Reliable molecular testing and surveillance
Assay verification, infectious-disease testing, and laboratory quality systems designed around dependable patient results.
- EBV and BKV assay verification
- SARS-CoV-2 mutation panel development
- Automated quality and epidemiology reporting
02Medical imaging AI
Reproducible pipelines for public cancer imaging
Open-source tools and cloud workflows that make large medical-imaging collections easier to access, analyze, and reproduce.
- Co-developed the idc-index Python package
- Processed approximately 11 TB in under 9 hours
- DICOM, DuckDB, Parquet, Terra, and Seven Bridges
03Clinical data engineering
Turning difficult clinical data into useful systems
Python, SQL, and containerized workflows that convert fragmented clinical information into searchable, decision-ready data.
- More than 1.5 million pathology pages digitized
- Interactive dashboards and automated reporting
- Secure, scalable ETL and analytics workflows
03 / Publications
Selected research.
2025Opportunistic assessment of steatotic liver disease in lung cancer screening eligible
individualsJournal of Internal Medicine2024End-to-end reproducible AI pipelines in radiology using the cloudNature Communications2024Enrichment of lung cancer computed tomography collections with AI-derived
annotationsScientific Data2023National Cancer Institute Imaging Data Commons: Toward transparency, reproducibility,
and scalability in imaging artificial intelligenceRadioGraphics2023Cannabis positivity rates in 17 emergency departments across the United States with
varying degrees of marijuana legalizationClinical Toxicology2022Implementation of a SARS-CoV-2 genotyping panel for prompt Omicron variant
identificationAnnals of Internal Medicine
04 / Experience
From the bench to research infrastructure.
Senior Medical Laboratory Scientist
Massachusetts General Hospital · Clinical Microbiology
Molecular infectious-disease testing, assay verification, quality analytics, and laboratory data systems.
Data Engineer
Brigham and Women’s Hospital · Radiology Research
Open-source software and large-scale data pipelines for the NCI Imaging Data Commons.
Clinical laboratory and research roles
Massachusetts General Hospital · Brigham and Women’s Hospital
Clinical microbiology, pathology analytics, and cross-institutional research projects.
Researcher
UC Davis · Massachusetts General Hospital
Analytical method development in forensic science, toxicology, and neurology research.
Professional inquiries
Interested in molecular diagnostics, clinical data, or reproducible medical AI?
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