About
I work at the intersection of clinical diagnostics, cancer genomics, and data workflows. At Labcorp, I support clinical NGS assays through variant review, QC, and continuous improvement of bioinformatics workflows in a high-throughput, regulated environment.
Previously, I helped build and scale the Genomic Analysis and Reporting (GAR) function at Foundation Medicine, curating ~95,000 samples and leading advanced analyses across complex cancer cases. Alongside that, I spearheaded adoption of agentic coding practices and AI coding assistants (e.g., Claude Code) to make our team's development and maintenance work faster, safer, and easier to share.
My next step is to deepen my software engineering skill set and own more of the pipeline and tooling layer — building reproducible, well-tested, AI-assisted workflows that bridge clinical bioinformatics and software engineering.
Experience
Clinical Bioinformatics Scientist II
Labcorp · Remote (US)
May 2026 – Present
- Visualize and assess genetic variants flagged for manual review, analyzing corresponding NGS and WGS data.
- Troubleshoot QC anomalies generated by automated pipelines to maintain data integrity.
- Analyze confirmatory assay results to support variant interpretation.
- Triage stuck samples, variants, and reports to sustain pipeline throughput.
- Support production operations including cross-team requests, on-call coverage, and program development.
- Collaborate with bioinformatics, automation, engineering, clinical genomics, and laboratory science teams.
Clinical Bioinformatics Analyst III
Foundation Medicine · Boston, MA
Feb 2025 – Apr 2026
- Contributed and collaborated with lab, engineering, and clinical teams to improve dry lab operations and data workflows.
- Developed and implemented a Python/SQL script (with Git/GitHub) to automate failure communication with the lab, reducing manual entry errors and significantly decreasing team workload.
- Designed and deployed an automated sample comparison report generator (Python, SQL, HTML, CSS) to rapidly produce standardized PDF reports, streamlining data review processes.
- Migrated cron jobs to AWS Lambda and EventBridge, leveraging Git, GitHub, Jenkins, and Docker to improve deployment efficiency and enable continuous integration.
- Troubleshot technical issues, maintained quality control metrics, and documented investigations in compliance with SOPs.
- Mentored junior analysts and provided technical guidance on complex cases and process improvements.
Clinical Bioinformatics Analyst II
Foundation Medicine · Cambridge, MA
Aug 2019 – Feb 2025
- Led the migration of automation scripts from Python 2 to Python 3, improving code maintainability and enabling collaborative development.
- Built collaborative tools for data extraction, transformation, and reporting from Oracle SQL databases using Python, HTML, and CSS.
- Facilitated training sessions and contributed to the validation and launch of new genetic assays in partnership with cross-functional teams.
- Conducted manual review of NGS and assay data, ensuring high-quality variant calls and timely delivery of clinical results.
Clinical Bioinformatics Analyst I
Foundation Medicine · Cambridge, MA
Sep 2017 – Aug 2019
- Developed annotated genomic profiles of somatic aberrations based on NGS data in cancer-patient samples.
- Reviewed genomic variant calls using proprietary and public tools (e.g., IGV) in collaboration with scientific teams.
- Delivered test results in compliance with SOPs, ensuring high quality within defined turnaround times.
- Collaborated with technical teams to specify requirements for tools that enhance workflow efficiency and robustness.
Earlier experience
Quality Control Analyst I
Sanofi Genzyme · Boston, MA
Jun 2017 – Sep 2017
- Executed rigorous quality control tests throughout manufacturing.
- Detected, quantified, and identified potential contaminants using advanced analytical techniques.
- Ensured strict compliance with CGMP guidelines.
Molecular Biology Lab Research Assistant
Colby College · Waterville, ME
Feb 2014 – May 2017
- Investigated transcription factor regulation in cereal grains using advanced molecular biology techniques.
- Analyzed gene expression and contributed to understanding stress response mechanisms in crops.
Summer Research Intern
National Human Genome Research Institute · Bethesda, MD
Jun 2016 – Sep 2016
- Analyzed whole genome sequences for DBA patients, identifying putative SNPs and CNVs that could be the drivers of the disorder.
- Conducted GWAS and validated findings with research teams.
Selected Work
Agentic Coding & AI-Assisted Development in GAR
Team Enablement · Claude Code
- Designed and led internal training for the GAR team on using AI coding assistants (Claude Code) for day-to-day development.
- Established agentic coding workflows: multi-step prompting, tool-using patterns, validation strategies, and code-review practices to keep AI-generated outputs safe and maintainable.
- Helped teammates adopt AI-assisted refactoring, test generation, and documentation, accelerating development and maintenance of internal tools.
NGS Workflow & QC Utilities
Python · Clinical Bioinformatics
- Built Python scripts to automate routine QC checks (coverage thresholds, call flags, file validation), reducing repetitive manual review in clinical pipelines.
- Introduced configuration files, logging, and lightweight tests to make utilities easier to maintain and reuse across the team.
- Used AI coding assistants to draft and refactor code while maintaining strict validation and review steps.
Assay Metrics & Stakeholder Reporting
Analytics · Communication
- Created assay performance and operations metrics for scientific and business stakeholders, highlighting trends and improvement areas.
- Summarized complex genomic data into clear visuals and narratives to support decisions on assay health, validation, and process optimization.