Ten-plus years bridging biology and computation across clinical genomics, oncology, and drug development — from CDC pathogen surveillance and oncology drug development to clinical genomics at Color and the NIH All of Us program.
Experience
May 2022 — Present
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 close collaboration with lab, clinical, and product teams, turning sequencing data into reproducible, analysis-ready results for patient return-of-results.
Aug 2020 — May 2022
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.
May 2016 — May 2022
Scientific Advisor
Applied Bioinformatics Laboratory · Atlanta, GA
- Collaborated with the 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).
Mar — Aug 2020
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 250,000 tests.
Education
2020
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).
2016
M.S. Bioinformatics
Georgia Institute of Technology
- Graduate Research Award (2015–2016).
2013 — 2015
B.S. Microbiology & B.S. Biology
University of Iowa
Skills
Languages
Python · R · SQL · Bash · Unix / sysadmin
Full-stack
Flask · Django · FastAPI · R Shiny · React
Data & ML
ETL pipelines · ML clustering · Differential expression · Scientific computing
Genomics
WGS · WES · RNA-seq · Microarray · Pharmacogenetics
Selected publications
2021The Impact of Ethnicity and Genetic Ancestry on Disease Prevalence and Risk in Colombia2020Real-time, interactive website for US-county-level COVID-19 event risk assessment2020Ancestry effects on type 2 diabetes genetic risk inference in Hispanic/Latino populations.2020Ancestry effects on type 2 diabetes genetic risk inference in Hispanic/Latino populations.2019STing: accurate and ultrafast genomic profiling with exact sequence matches2018Bioconda: A sustainable and comprehensive software distribution for the life sciences2017Influence of genetic ancestry and socioeconomic status on type 2 diabetes in the diverse Colombian populations of Chocó and Antioquia
Full publication list →