Jack Kamm
Principal Scientist at Genentech
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolJack Kamm is a Principal Scientist in San Francisco with 11 years of experience applying statistics and bioinformatics to problems across population genetics, metagenomics, genomic epidemiology, and single-cell analysis. He combines rigorous academic training (PhD in Statistics from UC Berkeley, Master's and BS from Stanford) with industry impact at Genentech and CZ Biohub, translating complex models into actionable biological insight. Equally comfortable in code and theory, he contributes to widely used open-source tooling—enhancing Spacemacs and Emacs-Jupyter integrations, particularly for R and statistical workflows. His work bridges reproducible research and production science, often improving developer ergonomics (ESS, auto-completion, Pandoc-backed HTML handling) while advancing statistical methods in genomics. Notably, he has a track record of hardening test suites and adapting legacy code to evolving libraries, reflecting both pragmatic engineering and deep domain expertise.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of California, BerkeleyBachelors, Mathematics and Computer Science, Bachelors, Mathematics and Computer Science at Stanford University
Stackoverflow
541reputation
23kreached
4answers
3questions
Github Skills (28)
caldav10
org-mode10
jupyter10
r10
testing10
configuration-management10
emacs-lisp10
configuration-file10
pandoc10
configurations10
helm9
refactoring9
html9
python8
pipenv8
Programming languages (15)
Github contributions (5)
dengste/org-caldav
Aug 2022 - Jan 2023
Caldav sync for Emacs orgmode
Role in this project:
Backend Developer
Backend DeveloperContributions:35 commits, 19 PRs, 51 pushes in 5 months
Contributions summary:Jack primarily contributed to the `org-caldav` repository by fixing bugs and refactoring existing code. Their work included adapting the codebase to changes in the `org-id.el` library, addressing issues with timestamps, and adding support for syncing TODOs. Furthermore, the user made various code style improvements, refactoring, and implemented fixes to improve the test suite, including the addition of new test cases.
caldavemacsorg-mode
emacs-jupyter/jupyter
Apr 2019 - Oct 2019
An interface to communicate with Jupyter kernels.
Role in this project:Full-stack Developer
Full-stack DeveloperContributions:5 commits, 9 PRs, 29 comments in 6 months
Contributions summary:Jack implemented features to integrate and enhance the Jupyter interface with the R programming language. They added HTML handling capabilities, including handling isolated HTML results and converting Markdown, LaTeX, and HTML outputs using Pandoc. Moreover, the user addressed bugs and adjusted the project structure with improvements to the display of R-generated HTML content within the Jupyter environment.
jupyter-kernelsemacs-lispjupyter
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