Mary Piper
Senior Principal Computational Biologist
Greater Boston United States
Summary
👤
Senior🎓
Top SchoolMary Piper is a Senior Principal Computational Biologist with 11 years of experience bridging microbiology, epidemiology, and bioinformatics to translate genomic data into actionable scientific insight. She has a strong track record in curriculum design and training—from high school outreach to post-graduate workshops—having led bioinformatics courses at Harvard and the Broad and developed modular NGS training materials used in community workshops. At Pfizer she applies her expertise in RNA-Seq, ChIP-Seq, and variant analysis to advance genomics-driven research, while maintaining active open-source contributions to HBC Training modules focused on tidyverse-based RNA-seq workflows and visualization. Her combined PhD in virology and MPH in epidemiology give her a rare blend of wet-lab virology experience and population-level analytic rigor, making her equally comfortable advising on experimental design or downstream statistical analysis. Colleagues rely on her for clear teaching, reproducible pipelines, and pragmatic solutions to complex genomic problems.
11 years of coding experience
1 year of employment as a software developer
Master of Public Health (MPH) Epidemiology, Master of Public Health (MPH) Epidemiology at University of MichiganBachelor's Biochemistry/Biotechnology, Bachelor's Biochemistry/Biotechnology at Michigan State University
English, Spanish
Github Skills (11)
html10
data-visualizations10
rna-seq10
bioinformatics10
data-visualization10
data-visualisation10
ggplot10
tidyverse10
r10
data-analysis10
galaxy9
Programming languages (8)
Github contributions (5)
hbctraining/Training-modules
Dec 2016 - Sep 2021
Materials for short, half-day workshops
Role in this project:
Data Scientist
Data ScientistContributions:840 commits, 6 PRs, 785 pushes in 4 years 10 months
Contributions summary:Mary primarily contributes to creating and updating R scripts focused on RNA-seq data analysis. Their work involves importing data, performing data manipulation using the `tidyverse` package, and generating visualizations and heatmaps with packages like `pheatmap` and `ggplot2`. They are actively working with data loading, normalization, and visualization of gene expression data, highlighting their expertise in bioinformatics and statistical analysis. The user also worked on adding images related to the project.
data-sciencedaymachine-learningshortcomputational-biology
hbctraining/In-depth-NGS-Data-Analysis-Course
Dec 2016 - Oct 2019
Role in this project:Data Scientist
Data ScientistContributions:577 commits, 2 PRs, 541 pushes in 2 years 10 months
Contributions summary:Mary contributed to the course materials by adding and updating reports and example files related to bioinformatics and NGS data analysis, including RNA-Seq and ChIP-Seq. They updated documentation and example code within existing course sessions. Their work involved generating and integrating data visualizations, and working with bioinformatics data formats. They also updated and merged different branches containing the most recent code and report files.
analyzingcallingchip-seqvariant-callingday
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