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Garrett Jenkinson, PhD

NOTE: I HAVE ACCEPTED A NEW POSITION AND AM NO LONGER UPDATING THIS PAGE AS OF 7/2018, SEE MY GITHUB AND LINKEDIN PAGES FOR UP-TO-DATE INFORMATION. I am a scientist with broad statistical and mathematical modeling interests. My current focus is on computationally modeling epigenetic systems using the tools of stastistical physics and information theory. My past research interests have included studying Markovian processes on complex networks, and machine learning in image processing.

Academic Experience

Asst. Research ScientistJohns Hopkins University, 2016-2018

  • Research for Center for Imaging Science in Whitaker Biomedical Engineering Institute
  • Developing information-theoretic tools for epigenetics
  • NASA twins study data analysis

Postdoctoral Fellow Johns Hopkins School of Medicine, 2013-2016

  • Postdoctoral advisors: John Goutsias PhD and Andrew Feinberg MD
  • Studied DNA methylation in cancer, aging, diet, and developmental biology

Johns Hopkins University

PhD Electrical and Computer Engineering
CAS Nanobiotechnology
MSE Applied Mathematics and Statistics

Carnegie Mellon University

MS Electrical and Computer Engineering
BS Electrical and Computer Engineering

External links
My GitHub page
My LinkedIn page