– Created, enhanced, or maintained various software and infrastructure projects for bioinformatics data analysis in the cloud (AWS, GCP)

– Led a team to design and build a user-friendly web application that supports bulk and single-cell RNA-Seq NGS data analysis by lab personnel (Django, React, Nextflow)– Created and maintained cloud infrastructure for bioinformatics projects (AWS, VPC, ECS, Batch)– Established CI/CD tools and procedures for deployment of cloud infrastructure and applications (Terraform, GitHub Actions, AWS CodePipeline)

– Led a team responsible for development and maintenance of bioinformatics pipelines (Python, Cromwell, Docker), LIMS (Django, RESTful API’s, Angular, SQL, ORM), and cloud infrastructure (Google Cloud Platform, Kubernetes)– Validated and launched a clinical diagnostic gene panel for inherited kidney disease– Created a pipeline for long-read PacBio data (minimap2, DeepVariant), presented at ASHG 2022– Wrote and maintained technical documentation for CAP regulatory compliance

– Led a team to build, validate, and launch a pipeline for whole-genome clinical diagnostic testing (Python, Cromwell, Docker, DRAGEN, PLINK), presented at ASHG 2021

– Hiring and personnel management for a team of 5-8 scientists and engineers– Led development, validation, and launch of 6 gene panels for inherited cardiovascular disease

– Lead developer for Loom, a bioinformatics pipeline framework (Google Cloud Platform, Python, Django, RESTful API’s, Angular, SQL, ORM)– Supported bioinformatics pipeline development (Loom, BWA, GATK, picard), for initial launch of a clinical exome diagnostic test

– Initial development of the Loom bioinformatics pipeline framework (continued at Stanford Health Care)

– Developed and maintained NGS data pipelines (Python, HPC, Slurm, BWA, GATK)– LIMS maintenance and upgrades (Ruby on Rails, SQL, ORM)

– Launched a scientific manuscript editing service, serving customers in 3 countries– Created a website (Python, Django) to manage business workflows

– Wrote automated tests (Java, MATLAB) for the Bioinformatics Toolbox (Next-Generation Sequencing data analysis and visualization) and SimBiology (Pharmacokinetics/Pharmacodynamics modeling)