Eric (Haoran) Chen, PhD

Science, software,
and the people
who use it.

I’m Eric. I work with researchers to understand what they need, build the tools, and help them put those tools to work.

Eric Chen

Austin, Texas
Computational biology
Applied AI

Selected work
01 / COMET

A shared view of complex cancer data

COMET Explorer brings molecular, imaging and clinical information into a single research workspace.

COMET Explorer with cohort filters, linked methylation and histology plots, a slide preview and copy-number data
COMET Explorer: linked molecular and tissue-image views · View full size

I led the application from a tested prototype to launch, coordinating eight partner teams. The first prototype took two weeks; the full launch followed.

One important product decision was access: I secured agreement on self-registration, so outside researchers could get started without waiting for an approved account request.

Explore COMET ↗

Selected work
02 / Pathology

Finding similar cases.
Seeing why they match.

Image search in PeCan Histology helps pathologists compare tissue regions with similar cancer cases.

PeCan Histology comparing a selected tissue region with similar slides and a similarity heatmap
PeCan Histology: a selected tissue region and similar cases · View full size

I designed the search architecture and built the embedding and retrieval backend. I benchmarked nine model candidates and used pathologist feedback to shape the visual comparisons.

The system searches roughly 10 million image regions, with reported responses under five seconds. The St. Jude Cloud team owns and operates PeCan Histology.

A separate LLM reporting workflow combines retrieved cases, metadata and computed statistics with source checks. Five pathologists are evaluating its clinical usefulness. It is distinct from the public search.

Public reporting code ↗
Explore PeCan Histology ↗

Working with people

Teaching is part of building.

My workshops have reached 50+ researchers across three series in AI coding, R, and compute/storage. I adapt the materials to the questions people actually bring.

Six maintained guides make that support reusable. Other labs use the onboarding materials to train interns; all four scientists I coached now run analyses and interpret results independently.

Background

A scientist who likes making things useful.

I’m a Senior Bioinformatics Research Scientist at St. Jude Children’s Research Hospital. My PhD is in Computational Biology from Carnegie Mellon, and my master’s is in Electrical Engineering from Texas A&M.

I enjoy understanding a difficult workflow, making the technical choices, and working with people until the software is useful in practice.

Open-source work

Always glad to compare notes.