Elizabeth Rosenzweig
Doctoral Candidate
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolElizabeth Rosenzweig is a doctoral candidate and quantitative biomedicine researcher with nine years of experience applying computational methods to complex biological data. She recently defended a PhD at Rutgers, where her thesis developed reproducible Python tools and meta-analysis/FDR approaches to analyze heterogeneous, longitudinal patient-derived xenograft tumor-growth datasets. Her background spans national labs and academia—LLNL, Oak Ridge, and CUNY—bringing hands-on computational chemistry and molecular biophysics experience to biomedical informatics. She combines strong technical rigor with practical teaching and communication skills (TA ratings ~4.5/5 and a framework that reduced regrade requests), and has a proven track record of translating method development into usable research software. Based in the New York City area, she pairs interdisciplinary domain knowledge with production-oriented coding to advance reproducible cancer modeling.
8 years of coding experience
4 years of employment as a software developer
Bachelor's Degree summa cum laude, Biomedical Informatics, 3.8, Bachelor's Degree summa cum laude, Biomedical Informatics, 3.8 at CUNY New York City College of Technology
Github Skills (7)
python9
computational-chemistry9
chemistry9
simulation1
mechanics1
biophysics1
continuum1
Github contributions (5)
earosenz/software-development
Jun 2017 - Jul 2017
Contributions:4 PRs, 23 pushes, 1 branch in 9 days
primerchemistrypythoncomputationalcomputational-chemistry
earosenz/mcce3.5
Jun 2017 - Jul 2017
Contributions:4 PRs, 6 pushes, 4 branches in 19 days
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