Kimiko Mcgirr
Principal Scientist at Applied BioMath
Oakland, California, United States
Summary
👤
Senior🎓
Top SchoolKimiko Mcgirr is a Principal Scientist and PK/PD/QSP modeler with nearly a decade of experience translating preclinical biology into predictive, clinically relevant models. With a PhD in Bioinformatics and Computational Biology from UNC and a background in molecular biology from Johns Hopkins, she excels at merging dry- and wet-lab perspectives to design models that account for data limitations and explicit assumptions. At Applied BioMath she progressed from Senior Scientist to Principal Scientist, leading quantitative strategy for dynamical systems and preclinical-to-clinical translation. She is highly proficient in Python and MATLAB, mentors colleagues enthusiastically, and favors model-driven experimental design to reveal signaling architectures. Outside work she balances analytical rigor with risk-tolerant pursuits like rock climbing and backpacking, reflecting a preference for solving hard problems both in silico and in the field.
9 years of coding experience
7 years of employment as a software developer
Johns Hopkins UniversityDoctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology, Doctor of Philosophy (Ph.D.) Bioinformatics and Computational Biology at University of North Carolina at Chapel Hill
Github Skills (7)
rna-seq9
python6
genomes6
genomics4
bioinformatics4
pipeline3
data-analysis1
Programming languages (2)
Github contributions (5)
NCBI-Hackathons/MASSIF-BLAST
Mar 2018 - Mar 2018
Contributions:26 commits, 20 pushes, 4 branches in 2 days
genomespipelinegenomicsbioinformaticsassess
NCBI-Codeathons/SeqMoid
Mar 2020 - Mar 2020
Contributions:35 commits, 1 PR, 32 pushes in 2 days
compmed-chapelhill-2020
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