Beth Cimini
Director, Bioimage Analysis, Imaging Platform
Cambridge, Massachusetts, United States
Summary
🤩
Rockstar🎓
Top SchoolBeth Cimini is a director-level bioimage analysis leader at the Broad Institute with 11 years of experience translating microscopy science into robust software and resources for less-computational scientists. With a PhD from UCSF and a long trajectory in image-based biology, she led and scaled the Imaging Platform while contributing deep technical work to flagship open-source tools like CellProfiler—refactoring, modernizing I/O and improving performance. She blends hands-on backend development with scientific rigor, enabling broader adoption of complex assays through user-focused tooling and containerized workflows. Known for bridging lab-facing biology and production-ready software, she champions reproducible image analysis and community resources such as COBA-NIH and piximi.
12 years of coding experience
5 years of employment as a software developer
PhD, Biochemistry and Molecular Biology, PhD, Biochemistry and Molecular Biology at University of California, San FranciscoBachelor of Arts (B.A.), Biochemistry and Molecular Biology, Bachelor of Arts (B.A.), Biochemistry and Molecular Biology at Boston University
Github Skills (15)
refactoring10
python10
image-processing10
optimization9
file-format9
fileio9
file-conversion9
file-operations9
optimisation9
numerical-optimization9
filetype9
algorithm9
file-handling9
code-optimization9
algorithms9
Programming languages (14)
Github contributions (5)
CellProfiler/CellProfiler
Aug 2016 - Jan 2023
An open-source application for biological image analysis
Role in this project:
Back-end Developer
Back-end DeveloperContributions:11 releases, 99 reviews, 341 commits in 6 years 6 months
Contributions summary:Beth's commits primarily focus on refactoring, removing, and optimizing code within the CellProfiler image analysis software. The user has been working on the codebase by adding support for new file formats, deprecating and deleting old modules, improving imports, using implicit getters/setters, and refactoring properties in Python files. The impact of this work is better overall performance with fewer module dependency issues, while increasing flexibility of input image files.
image-analysis
broadinstitute/pe2loaddata
May 2018 - Mar 2026
Script to parse a Phenix metadata XML file and generate a .CSV for CellProfiler's loaddata module
Contributions:1 release, 13 reviews, 19 PRs in 7 years 11 months
cellprofilerload-dataxmlcarpenter-lab
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