Maureen Carey is an associate director and computational biologist in Cambridge, MA, with eight years of experience applying data science to oncology, infectious disease, and cancer biology. She combines hands-on wet-lab and clinical experience with strengths in real-world data analysis, visualization, and computational modeling to support drug development and public health research. At Tempus she progressed from senior computational biologist to leadership roles using oncology real-world evidence to inform pipelines, and previously led data science for microbiome initiatives and mechanistic modeling of parasite metabolism in academia. An active contributor to open-source metabolic modeling (notably bug fixes and functional improvements to the widely used COBRApy project), she brings pragmatic engineering alongside deep domain knowledge. Known for bridging interdisciplinary teams, she has a PhD in Microbiology, Immunology, and Cancer Biology and a track record of translating complex biological questions into actionable data-driven solutions.
9 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Microbiology, Immunology, and Cancer Biology, Doctor of Philosophy - PhD, Microbiology, Immunology, and Cancer Biology at University of Virginia School of Medicine
Bachelor of Science (BS), Biology, General, Bachelor of Science (BS), Biology, General at Lafayette College
COBRApy is a package for constraint-based modeling of metabolic networks.
Role in this project:
Back-end Developer
Contributions:6 commits, 7 PRs, 4 comments in 22 days
Contributions summary:Maureen primarily contributed to the `cobrapy` project by fixing bugs and improving existing functionalities. Their work involved adding new metabolites to the gapfilling process, and updating methods to prune unused metabolites and reactions. They also refactored the `rename_genes` function, making it more flexible and robust by allowing for renaming of a subset of genes and avoiding the addition of unnecessary genes.
pipeline for generating a comprehensive database of parasite genome-scale metabolic models, BioRxiv DOI: 10.1101/772467
Contributions:1 release, 259 commits, 44 pushes in 3 years 2 months
databasemetabolic-models
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