Margaret Janiczek
Researcher PHD Student at University of Massachusetts Amherst
United States
Summary
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Top SchoolMargaret Janiczek is a PhD student and researcher in biostatistics at UMass Amherst with nine years of experience translating complex biomedical data into actionable insights across academic and industry settings. She has deep hands-on expertise in R, contributing backend improvements and documentation to the widely used gtsummary package to make presentation-ready analytic tables more robust and user-friendly. Her career includes impactful stints at Memorial Sloan Kettering—where she integrated multi-omic cancer datasets and led QA efforts—and a recent biostatistics internship at Novartis, demonstrating fluency in both research and regulated clinical environments. Margaret pairs rigorous statistical methodology with practical software craftsmanship, and her background in philosophy and the arts gives her a unique perspective on communicating technical results clearly.
8 years of coding experience
3 years of employment as a software developer
Master’s Degree, Biostatistics, Master’s Degree, Biostatistics at Columbia University in the City of New YorkDoctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of Massachusetts AmherstBachelor of Arts (B.A.), Philosophy; Film, Television and Theatre, 3.865, Bachelor of Arts (B.A.), Philosophy; Film, Television and Theatre, 3.865 at University of Notre Dame
English
Stackoverflow
247reputation
12kreached
6answers
0questions
Github Skills (10)
statistics10
reproducible-research10
r-package10
r10
regression-models9
apply6
html6
data-manipulation6
pdf6
dplyr6
Programming languages (4)
Github contributions (5)
ddsjoberg/gtsummary
May 2019 - Jun 2020
Presentation-Ready Data Summary and Analytic Result Tables
Role in this project:
Back-end Developer
Back-end DeveloperContributions:13 commits, 10 PRs, 11 pushes in 1 year 1 month
Contributions summary:Margaret primarily focused on enhancing and maintaining the `gtsummary` R package. Their contributions included updating core functions like `tbl_merge()` and `tbl_stack()` to accommodate new functionalities. They also made modifications to `tbl_regression()` and `tbl_uvregression()` to improve the package's utility. A significant part of their work involved running code style adjustments and documentation updates to ensure code quality and user-friendliness.
r-packagestatisticspresentationregression-modelsanalytic
margarethannum/gtsummary
May 2019 - Apr 2020
Contributions:62 PRs, 66 pushes, 18 branches in 11 months
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