Aroon Chande
Turning multi-omics data into clinical decisions.
Hi, I’m Aroon, a Staff Bioinformatics Engineer at Color Health. For ten-plus years I’ve worked where biology meets software — clinical genomics, oncology, and drug development — from CDC pathogen surveillance to the NIH All of Us program.
About
I build the software and pipelines that turn sequencing and multi-omic data into reproducible, analysis-ready results — working shoulder-to-shoulder with wet-lab, clinical, and product teams.
At Color, I work on the computational infrastructure returning clinical genetics results for our Virtual Cancer Clinic patients and previously supported the NIH All of Us program, helping return genetics results for over 200,000 participants.
Before that, I built multi-omics analysis platforms for drug development at Seagen, advised the CDC on biosecurity pathogen-surveillance software, and led the COVID-19 response projects like the Event Risk tool that served 50 million risk predictions to 8 million people and Georgia Tech's MyTest asymptomatic testing program that tested more than 250,000 samples.
Experience
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.
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.
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 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).
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.
Selected publications
32 papers · 2014–2026Get in touch
I’m always glad to talk shop — genomics, software, or the messy overlap between them. If you’re working on something interesting in the space, or just want to compare notes, my inbox is open.