Doctoral Student at The Johns Hopkins University School of Medicine
Baltimore, Maryland, United States
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Summary
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Amy Gill is a Biomedical Engineering PhD candidate at Johns Hopkins who builds computational models of cell signaling to predict cancer cell decision-making and personalize therapy regimens. With seven years of research and teaching experience spanning molecular benchwork, proteomics, CRISPR workflows, and quantitative data analysis, she bridges experimental and computational perspectives in precision oncology. She has supported large-scale education initiatives as a lead content developer for HarvardX, improving automated graders and course materials for data science and genomics training. Amy’s background in secondary education and extensive TA experience informs her commitment to quantitative biology education and accessible STEM instruction. Based in Baltimore, she combines rigorous lab pedigree from institutions like Dana-Farber and the University of Chicago with a focus on disability access and representation in STEM. Colleagues describe her as a pragmatic modeler who translates complex biological measurements into actionable insights for tailored cancer therapies.
7 years of coding experience
5 years of employment as a software developer
Master of Arts in Teaching (M.A.T.), Secondary Education - Biology, 4.0/4.0, Master of Arts in Teaching (M.A.T.), Secondary Education - Biology, 4.0/4.0 at National Louis University
Master of Science (M.S.), Cancer Biology, 3.93/4.0, Master of Science (M.S.), Cancer Biology, 3.93/4.0 at The University of Chicago
Bachelor of Arts - BA, Biology, Chemistry, General Honors, Bachelor of Arts - BA, Biology, Chemistry, General Honors at University of Chicago
Contributions:30 commits, 1 PR, 25 pushes in 7 months
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Amy Gill - Doctoral Student at The Johns Hopkins University School of Medicine