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Amy Gill

Lead Content Developer, Data Science

HarvardX

Biography

“Your profession is not what brings your weekly paycheck, your profession is what you’re put here on earth to do, with such passion and intensity that it becomes spiritual in calling.” - Vincent Van Gogh

Biomedical science is my profession. I am a biologist, teacher and data scientist training for a career in biomedical informatics and quantitative biology. In my current position, I develop content for the HarvardX Data Science Professional Certificate and HarvardX Genomics Data Analysis XSeries on edX.

I currently seek a doctoral program to enhance my bioinformatics skills, practice teaching and perform patient-centered research. My primary passions are cancer systems biology and quantitative biology education. My career objectives are to teach quantitative biology skills to current and aspiring researchers while contributing to research that advances patient care.

Learn more about my motivation for science, research interests, teaching, diversity and personal background by exploring my site or reading my CV.

Interests

  • Cancer systems biology
  • Modeling biological systems
  • Biological network dynamics and emergent properties
  • Cancer evolution and ecology
  • High-throughput biomedical data analysis
  • Quantitative biology education

Education

  • MAT in Secondary Education - Biology, 2016

    National-Louis University

  • MS in Cancer Biology, 2015

    University of Chicago

  • BA in Biological Sciences, Chemistry, 2011

    University of Chicago

CV

My CV is available in HTML or PDF form. (Last updated: November 18, 2019)

Recent Posts

My new CV in pagedown

Updating my CV As part of my graduate school application process, I recently recreated my CV in pagedown, an R package for making PDFs …

Simply Statistics post

Simply Statistics post I had the pleasure of writing a guest post on the Simply Statistics blog today! The post announces an update of …

Projects

A selection of original work

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Data Science Capstone: Breast Cancer Prediction

Prediction of breast cancer from nuclear features of fine needle aspirate biopsies. HarvardX Data Science capstone project, 2019.

HarvardX Data Science Series Updates

Updating and expanding HarvardX Data Science Professional Certificate content

UChicago Thesis Proposal

For my thesis proposal for the Committee on Cancer Biology at University of Chicago in 2013, I proposed a series of in vitro and in …

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