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Quinn Wai Wong

Quinn Wai Wong

Research software engineer focused on genomics and vision ML

New York, New York
Portland, Oregon
ellrottlab+1
Joined January 2026
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Summary

Bridges research software engineering and genomics platforms: Quinn works on tooling and workflows that make genomic variant data interoperable and usable at scale (AnVIL, Dockstore, VRS annotation), contributing to production-ready pipelines and platform demos. anvilproject+2
Active vision-science and machine-learning researcher: As a research assistant and co-author, Quinn has contributed to machine-learning methods for estimating contrast sensitivity and contrast response functions, with publications and code made available by the lab group. nih+2
Early-career full-stack and systems developer with industry internships: Quinn has practical software engineering experience in logistics and product teams and has completed internships focusing on software and process improvements, reflecting a combination of academic research and industry-facing product engineering. ellrottlab
Contributor to open-source and reproducible research: Quinn maintains code and contributes to repositories and toolkits used in biomedical and genomics workflows (GitHub, Dockstore, Zenodo records), supporting transparency and reuse in computational research. github+2

Work

Education

Projects

Writing

Multitask Machine Learning of Contrast Sensitivity Functions

September 1, 2024

A Journal of Vision abstract/paper on multitask machine-learning approaches for estimating CSFs and comparisons to disjoint estimation, highlighting conditions where conjoint learning improves convergence.

Favicon imagejov.arvojournals.org

Active mutual conjoint estimation of multiple contrast sensitivity functions

August 1, 2024

Describes a nonparametric machine-learning approach for simultaneous estimation of multiple contrast sensitivity functions, introducing kernels and acquisition procedures enabling conjoint estimation to speed convergence.

Favicon imagepubmed.ncbi.nlm.nih.gov

Contrast response function estimation with nonparametric Bayesian active learning

January 1, 2024

Work on nonparametric Bayesian active learning methods for contrast response function estimation (code and figures available in the project repository).

Favicon imagegithub.com

Hobbies

Enjoys skating at the roller rink and surfing on the Oregon coast. ellrottlab+1