Eric Chen
Summary
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SeniorEric Chen is a Senior Bioinformatics Research Scientist in Austin with a decade of experience building GPU-accelerated AI systems and advanced statistical models for spatial and structural biology. He has driven impactful, open-source tooling at Carnegie Mellon for HuBMAP that automated segmentation QA/QC and improved segmentation across thousands of tissue images, and he translates 2D methods to 3D imaging to overcome limited-data bottlenecks. His PhD work produced generative models that synthesize realistic tissue images and an unsupervised framework that distinguished normal from metastatic cells with a 0.9 AUC-ROC on cryo-ET data, demonstrating a rare combination of theory and practical deployment. Now at St. Jude, he applies scalable ML and GPU engineering to biomedical problems, blending deep learning, interpretable models, and production-focused software design. He often leverages interpretable network motifs and weak supervision to extract biological insight, making complex model outputs actionable for researchers.
10 years of coding experience
Github Skills (11)
algorithms8
segmentation7
python7
scientific-computing7
image-processing7
computer-vision6
scipy6
3d5
algorithm1
deep-learning1
ai1
Programming languages (2)
Github contributions (5)
murphygroup/CellSegmentationEvaluator
Dec 2021 - Jan 2023
Evaluating the quality of a cell segmentation method without reference.
Contributions:4 releases, 15 commits, 31 pushes in 1 year 1 month
segmentation
Shen-Lab/cNMA
Sep 2016 - Sep 2016
Contributions:11 commits, 21 pushes, 1 comment in 2 days
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