Casey Greene
Director, Colorado Center For Personalized Medicine at University of Colorado Anschutz School of Medicine
Philadelphia, Pennsylvania, United States
Summary
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Rockstar🎓
Top SchoolCasey Greene is a computational biologist and leader who directs the Colorado Center for Personalized Medicine and chairs the Department of Biomedical Informatics at the University of Colorado, bringing 12+ years of experience building methods that integrate large-scale datasets to reveal contextual biology. A Moore Investigator in Data-Driven Discovery, he focuses on deep learning and integrative genomics to expose where public data challenge existing models and to generate the right questions for follow-up experiments. He founded the Integrative Genomics Lab to translate advanced computational methods into routine tools for molecular biology labs, coupling method development with practical deployment. Before CU, he built an academic trajectory from a Ph.D. in genetics at Dartmouth through a Princeton postdoc to faculty roles at Dartmouth and Penn, reflecting a career that bridges rigorous theory and real-world impact. An active open-source contributor, he has also streamlined collaborative projects like the greenelab deep-review by improving build and deployment workflows, underscoring his attention to reproducible, usable science.
12 years of coding experience
16 years of employment as a software developer
BS Chemistry, BS Chemistry at Berry CollegePh.D. Genetics, Ph.D. Genetics at Dartmouth College
Github Skills (8)
pandoc10
build-automation10
markdown-it5
markdown5
docker4
dockers4
deep-learning3
deeplearning-ai3
Programming languages (17)
Github contributions (5)
greenelab/deep-review
Aug 2016 - Mar 2020
A collaboratively written review paper on deep learning, genomics, and precision medicine
Role in this project:
DevOps Engineer
DevOps EngineerContributions:1 release, 2 reviews, 240 commits in 3 years 7 months
Contributions summary:Casey's contributions focused on configuring the build process and project dependencies. They updated the `build.sh` script to use the `pandoc` tool to convert markdown files to PDF format. Additionally, the user addressed merge conflicts, suggesting they were involved in integrating changes and ensuring the project's build process was functional. This implies they were likely responsible for streamlining project compilation and deployment procedures.
manubotprecision-medicinedeep-learningneural-networksmachine-learning
greenelab/GCB535
Jun 2016 - Feb 2019
Contributions:119 commits, 8 PRs, 204 pushes in 2 years 8 months
penn
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