Emily King
Senior Scientist II, Bioinformatics
Greater Chicago Area United States
Summary
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Senior🎓
Top SchoolEmily King is a statistician and computational genomics scientist with a decade of experience translating complex genetic datasets into actionable target insights at AbbVie. With a PhD in Statistics and a background in Bayesian methods and hidden Markov models, she specializes in GWAS/PheWAS integration, CRISPR and cell-painting screen analysis, and predictive modeling for drug target discovery. Her work moves between rigorous method development (including NGS-focused Bayesian inference) and pragmatic data integration across biomedical resources. Based in the Chicago area, she combines academic rigor from NSF-supported research with industry impact, uniquely bridging statistical theory and high-throughput experimental data to prioritize therapeutic targets.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Iowa State UniversityMaster of Science (MS), Geological and Earth Sciences/Geosciences, Master of Science (MS), Geological and Earth Sciences/Geosciences at The University of ChicagoGithub contributions (3)
AbbVie-ComputationalGenomics/genetic-evidence-approval
Nov 2018 - Jan 2021
Contributions:61 commits, 5 pushes, 1 branch in 2 years 2 months
AbbVie-ComputationalGenomics/POEMColoc
Mar 2020 - May 2020
Contributions:17 commits, 1 push, 1 branch in 2 months
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