I’ve spent ten-plus years working across clinical genomics, oncology, and drug development — from CDC pathogen surveillance and drug development at Seagen to clinical genomics at Color and the NIH All of Us program.
Experience
Staff Bioinformatics Engineer
Color Health · San Francisco, CA
- Co-own the computational infrastructure for the NIH All of Us return-of-results program, processing hereditary and pharmacogenetic variants for 200,000+ participants.
- Led a full refresh of the pharmacogenetics product line for oncology care — combining literature review and computational analysis to prioritize new genes and variants.
- Design and validate clinical genomics pipelines in a CLIA/CAP-accredited, FDA-regulated environment — collaborating with lab, clinical, and product teams to turn sequencing data into reproducible, analysis-ready results for patient return-of-results.
Bioinformatics Scientist
Seagen · Seattle, WA
- Built an R Shiny analysis platform enabling bench scientists to run ML-based clustering and differential gene expression analysis for drug development.
- Facilitated analysis of a 30,000+ patient harmonized tumor RNA-seq dataset spanning public (TCGA, GTEx, cBioPortal) and internal data.
- Served as lead developer and technical lead for an integrated platform supporting RNA-seq, proteomics, and IHC pathology annotation; supported design of new cancer cell lines and genome-wide editing screens.
Scientific Advisor
Applied Bioinformatics Laboratory · Atlanta, GA
- Collaborated with CDC on biosecurity-focused pathogen surveillance software for efficient reconstruction of pathogen genes and genomes from environmental samples.
- Developed novel algorithms and high-performance platforms to simplify analysis of NGS data for detecting select agents (anthrax, Ebola, and other highly contagious viral diseases).
COVID-19 Pandemic Response
Georgia Institute of Technology · Atlanta, GA
- Lead developer for the COVID-19 Event Risk Assessment Planning Tool — serving 50 million risk predictions to 8 million users.
- Lead developer of the MyTest platform for asymptomatic COVID-19 testing — the first campus-wide free testing program in the nation, facilitating over 112,000 tests.
Education
Ph.D. Bioinformatics
Georgia Institute of Technology
- Human computational genetics — models for disease burden across Colombia and South America, focused on complex diseases such as type 2 diabetes and coronary artery disease.
- Visiting Scientist Fellowship, São Paulo Research Foundation (2018); Graduate Research Award (2017–2020).
M.S. Bioinformatics
Georgia Institute of Technology
- Graduate Research Award (2015–2016).
B.S. Microbiology & B.S. Biology
University of Iowa
Skills
Languages
Python · R · C++ · SQL · Bash · Terraform
Cloud & Infra
AWS · Docker · Kubernetes · CI/CD (GitHub Actions, CircleCI)
Pipelines & workflows
Nextflow · WDL / Cromwell · Conda / Bioconda · ETL pipelines
Full-stack dev
Flask · Django · FastAPI · R Shiny · React
Genomics
WGS · WES · RNA-seq · Microarray · Pharmacogenetics
Variant analysis
GATK · samtools / bcftools · BWA / minimap2 · VEP / SnpEff
Data & ML
ML clustering · Differential expression · Scientific computing