Jenna Landy

Senior Scientist, Discovery Statistics

Boston, Massachusetts, United States
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Summary

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Jenna Landy is a Senior Scientist in Discovery Statistics with eight years of experience applying statistical and machine learning methods to molecular and genomic problems across pharma and biotech. She holds a Biostatistics PhD from Harvard and has a track record of developing biologically informed ML methods, open-source R packages, and rigorous simulation studies that bridge theory and real-world cancer and immunology data. Her background spans hands-on computational work—from contributing UI features to the popular jupyterlab-git extension to building Python and R packages used in vaccine and liquid biopsy projects—demonstrating both software craftsmanship and domain expertise. Jenna combines advanced probabilistic modeling (Bayesian factor models, advanced MCMC) with practical product-minded implementation, mentoring students and translating research into reproducible tools.
code8 years of coding experience
job7 years of employment as a software developer
bookHigh School Diploma, High School Diploma at Santa Cruz High School
bookCalifornia Polytechnic State University, San Luis Obispo
bookDoctor of Philosophy - PhD Biostatistics, Doctor of Philosophy - PhD Biostatistics at Harvard Kenneth C. Griffin Graduate School of Arts and Sciences
bookMasters Degree Biostatistics, Masters Degree Biostatistics at Harvard T.H. Chan School of Public Health
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Github Skills (9)

git10
typescript10
typescripts10
jupyterlab-extension10
jupyterlab10
react10
typescript-types10
javascript9
css9

Programming languages (8)

TypeScriptRSCSSTeXJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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jupyterlab/jupyterlab-git

Jul 2018 - Aug 2018

A Git extension for JupyterLab
Role in this project:
userFull-stack Developer
Contributions:22 commits, 14 PRs, 12 pushes in 1 month
Contributions summary:Jenna primarily contributed to the development of the JupyterLab Git extension's user interface. Their work focused on implementing features related to deleting and resetting commits, including the creation of new components like `ResetDeleteSingleCommit` and enhancing existing ones like `SinglePastCommitInfo`. They also styled the UI components and fixed a branching bug. Their contributions suggest an emphasis on improving the user experience and functionality within the Git extension.
jupyterlabjupyterlab-extension
jupyter/notebook-research

Jul 2019 - Sep 2019

Research on the usage of Jupyter notebooks
Contributions:38 commits, 2 PRs, 4 pushes in 1 month
jupyter-notebook
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