Michael Steinbaugh
Director, Data, AI & Genome Sciences
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolMichael Steinbaugh is a director-level data and genome sciences leader with 11 years of experience applying AI/ML and functional genomics to preclinical target discovery and small-molecule development. He blends hands-on research (postdoc at Harvard Medical School and a PhD in Cellular & Molecular Biology) with team-building and translational program leadership across biotech and pharma, most recently leading Data, AI & Genome Sciences at Merck. His background spans single-cell and NGS analysis, bioinformatics tool development, and automation-focused build/release work for bioinformatics packaging (notably contributions to the widely used bioconda-recipes). Comfortable bridging wet lab and computational teams, he has driven programs targeting chromatin, RNA splicing, and transcriptional regulation. Colleagues describe him as a pragmatic scientist who turns complex genomic data into actionable discovery hypotheses.
11 years of coding experience
7 years of employment as a software developer
PhD Cellular and Molecular Biology, PhD Cellular and Molecular Biology at University of Michigan Medical SchoolPostdoc Genetics, Postdoc Genetics at Harvard Medical SchoolUniversity of California, Los Angeles
Spanish, English
Stackoverflow
46reputation
899reached
3answers
0questions
Github Skills (15)
html10
bioinformatics10
automation10
conda10
automations10
package-management10
documentation10
r10
markdown-it9
markdown9
homebrew6
macos-big-sur6
homebrew-cask6
macos6
bash6
Programming languages (27)
Github contributions (5)
hbctraining/In-depth-NGS-Data-Analysis-Course
May 2017 - Jul 2017
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
Role in this project:
Technical Writer
Technical WriterContributions:78 commits, 74 pushes, 1 branch in 2 months
Contributions summary:Michael's commits primarily focus on updating and creating documentation for a course on NGS data analysis. They created and modified HTML files for lessons, including adding and adjusting content related to the tidyverse and updating the layout. The commits also show the addition of R script examples related to differential expression analysis using DESeq2.
analyzingcallingchip-seqvariant-callingday
bioconda/bioconda-recipes
Feb 2019 - Jan 2023
Conda recipes for the bioconda channel.
Role in this project:Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:386 reviews, 34 commits, 398 PRs in 3 years 11 months
Contributions summary:Michael primarily contributed to the bioconda-recipes repository by adding and updating recipes for various R packages. Their work involved creating new recipes, updating existing ones, and fixing dependencies. This also included integrating packages from other sources and addressing issues related to build processes and package versions. The user's commits demonstrate a focus on automation and the build process for the conda package manager.
recipescondabiocondabioinformaticspackage-management
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