Kimiko Mcgirr - Principal Scientist at Applied BioMath

Kimiko Mcgirr

Principal Scientist at Applied BioMath

Oakland, California, United States

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Summary

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Senior

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Top School

Kimiko 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 University

Doctor 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 (16)

python-course9

rna-seq9

system-analysis8

bioinformatics8

intermediate8

genomes7

python6

repair5

genomics4

pipeline4

machine-learning1

data-visualization1

exploratory-data-analysis1

pandas1

data-science1

Programming languages (1)

Jupyter Notebook

Github contributions (5)

NCBI-Codeathons/SeqMoid

Mar 2020 - Mar 2020

Contributions:35 commits, 1 PR, 32 pushes in 2 days

NCBI-Hackathons/MASSIF-BLAST

Mar 2018 - Mar 2018

Contributions:26 commits, 20 pushes, 4 branches in 2 days

genomespipelinegenomicsbioinformaticsassess

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