HE Harley Edwards / Portfolio
Biochemical Engineering PhD and Machine Learning Data Scientist in Bioinformatics and Computational Biology

Harley Edwards builds
scientific software solutions to navigate biology with you.

Biochemical engineer and data scientist with 13 publications and 8 years of combined experience in academia and industry — specializing in systems biology, omics data analysis, and machine learning, with a focus on NGS and proteomic tools built as GUI apps for complex analysis.

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Portrait of Harley Edwards
H. Edwards Baltimore, MD
Elsewhere
Focus Areas

Four lenses on the same problem.

Research spanning 9 years of work across wet lab and computational workflows. Click to follow up on specific work.

01

Machine Learning

Unsupervised clustering, random forest, and inverse-design methods that turn omics and screening data into actionable biological features.

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NGS/Proteomics

A suite of GUI apps — DPoP, clustering/GO-term analysis, dynamic volcano plotting — for making sense of time-dynamic NGS and proteomic data.

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Systems Biology

Kinetic modeling and network inference linking proteomic and transcriptomic dynamics to cellular and fungal phenotypes.

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Synthetic Biology

CRISPR-based genome editing and genetic marker design engineered directly into microbial hosts like Yarrowia lipolytica.

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