Michael Sayer
Postdoctoral Researcher at UCI School of Pharmacy & Pharmaceutical Sciences
Irvine, California, United States
Summary
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Senior🎓
Top SchoolMichael Sayer is a clinical bioinformatics postdoctoral researcher with 10 years of combined pharmacy and data science experience, bridging Pharm.D. clinical practice with PhD-level genomics and predictive modeling. He specializes in integrating genetic testing, clinical variables, and treatment outcomes to build multivariate predictive models and derive translational insights for patient care. His toolkit spans data wrangling, statistical testing, and applied bioinformatics, grounded by hands-on pharmacy roles managing medication therapy, vaccines, and long-term care logistics. Having produced multiple first-author publications from his thesis work, he is skilled at converting complex genomic datasets into clinically actionable results. Based in Irvine, CA, he brings a practical clinician’s perspective to research, enabling solutions that are both methodologically rigorous and immediately applicable in healthcare settings.
10 years of coding experience
Doctor of Philosophy - PhD, Pharmaceutical Science; Emphasis in Bioinformatics and Pharmacogenomics, Doctor of Philosophy - PhD, Pharmaceutical Science; Emphasis in Bioinformatics and Pharmacogenomics at Chapman UniversityMaster's degree, Data Science, Master's degree, Data Science at Western Governors UniversityBachelor of Science - BS, Biochemistry, Bachelor of Science - BS, Biochemistry at Brigham Young UniversityGithub contributions (5)
keiki83/Gladiator
Apr 2017 - Jun 2017
Contributions:2 PRs, 68 pushes, 2 branches in 1 month
keiki83/CMDS
Jul 2017 - Jul 2017
Contributions:1 release, 26 pushes, 1 branch in 4 days
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