Jessica Lavery - Research Biostatistician

Jessica Lavery

Research Biostatistician

New York, New York, United States

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Summary

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Rockstar

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Top School

Jessica Lavery is a research biostatistician with seven years of experience delivering rigorous statistical support for cancer and maternal health research at leading institutions including Memorial Sloan Kettering and Columbia University. She combines advanced methodological expertise—ranging from marginal structural models to mediation and age-period-cohort analyses—with hands-on data programming and manuscript preparation for clinical teams. An active R package contributor, she improves reproducible, presentation-ready analytic tables through work on the popular gtsummary package, enhancing table rendering and documentation. Based in New York, she also mentors young women in STEM, reflecting a commitment to training the next generation of scientists.

7 years of coding experience

2 years of employment as a software developer

DrPH, Biostatistics, DrPH, Biostatistics at Columbia University Mailman School of Public Health

Bachelor of Science degree, Statistics, Bachelor of Science degree, Statistics at Loyola University Maryland

Biostatistics, Biostatistics at Summer Institute for Training in Biostatistics (SIBS)

Master of Science (MS), Biostatistics, Master of Science (MS), Biostatistics at University of North Carolina at Chapel Hill

Github Skills (8)

reproducible-research10

rs10

r-package10

r-stats10

r10

regression-models8

html8

easyui7

Programming languages (2)

RHTML

Github contributions (5)

ddsjoberg/gtsummary

May 2020 - Sep 2022

Presentation-Ready Data Summary and Analytic Result Tables

Role in this project:

Data Scientist & R Package Developer

Contributions:21 reviews, 30 commits, 21 PRs in 2 years 4 months

Contributions summary:Jessica primarily contributes to the `gtsummary` R package, focusing on enhancing table generation and documentation. Their work includes updating documentation for critical features like missing value summaries and expanding `tbl_summary` functionality. The user merges branches and modifies code related to the package's core functionalities, such as the `as_tibble` and `as_flextable` methods. Furthermore, the user adds and refines the `add_glance_source_note` function and implements a feature to split gtsummary tables.

r-packagestatisticspresentationregression-modelsanalytic

MSKCC-Epi-Bio/Writing-Functions-with-the-tidyverse

Jan 2022 - Nov 2022

Contributions:18 commits, 2 PRs, 13 pushes in 9 months

rlangpackage-developmentxaringanfunctiontidyeval

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