Stephen Hwang
Computational Catalyst Intern
San Diego, California, United States
Summary
🤩
Rockstar🎓
Top SchoolStephen Hwang is a computational genomics PhD student and Computational Catalyst Intern at Genentech with six years of research and industry experience applying statistical and engineering approaches to pangenomics, transcriptomics, and precision health. He has extended short-read pangenome mappers to long reads and developed methods for minimizer selection in HiFi and Nanopore data, blending C++ systems work with robust benchmarking. His background spans single-cell and bulk RNA-seq analysis, RNA velocity, and differential expression pipelines, plus user-facing tools like an RShiny app for biologists. Stephen co-led a gold-medal iGEM team that engineered a conjugative, CRISPR-transposon system for pathogen control, reflecting rare wet-lab-to-computation leadership. Based in San Diego, he combines deep statistical rigor with practical software engineering and a knack for translating complex genomics methods into tools that biologists use.
6 years of coding experience
3 years of employment as a software developer
Johns Hopkins UniversityUniversity of California Santa Cruz
Spanish, English, Mandarin
Github Skills (4)
genomics10
genome10
graph10
bioinformatics10
Programming languages (2)
Github contributions (5)
StephenHwang/dotfiles
Jun 2020 - Jan 2025
Contributions:175 pushes, 2 branches in 4 years 8 months
StephenHwang/vg
Dec 2021 - Aug 2022
tools for working with genome variation graphs
Contributions:2 PRs, 22 pushes, 1 branch in 8 months
genomegenomicsbioinformaticsgraphsvariation
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