JHM LEE LABS

Independent applied-AI lab / studio

Useful intelligence,
built with care.

Applied AI for biology, vision, and intelligent systems.

JHM Lee Labs is the home for focused experiments and open tools by Jin-Ho Lee — grounded in reproducibility, honest boundaries, and practical utility.

Explore the work GitHub profile
FIELD NOTE / 001 BIO · VISION · SYSTEMS Connected points in an abstract constellation Lines connect a central point to smaller points arranged around it. 01/03

Selected directions

Three ways to make
complexity legible.

01Open source · MIT

Computational biology

A reproducible Snakemake workflow for predicted cancer neoepitope candidates arising from alternative splicing. It is a modern reimplementation of the 2015 computational proof of concept.

Predicted candidates only — no experimental validation, clinical use, therapeutic claim, publication, or patent claim.

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02Browser extension · CV

Badminton Vision

A local-first Chrome extension for analyzing and labeling badminton video. The project explores practical computer vision in the browser while keeping its current scope explicit.

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03In progress

Intelligent systems

Agentic AI, developer tooling, and reproducible data workflows — small, composable systems designed to help people reason, build, and verify.

Exploratory work, shared plainly as it develops.

Follow along on GitHub

The person behind the work

Built by
Jin-Ho Lee.

Jin-Ho Lee is a founder-led independent builder with an M.Sc. in Molecular Biotechnology and experience spanning computational biology and production data / ML engineering.

JHM Lee Labs brings those threads together: open projects, careful experiments, and tools that make technical work more reproducible.

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Working principle

“Make the boundary
part of the interface.”

Stay in the loop

More soon.

Company email is coming soon. For now, public project updates live on GitHub.

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