The QRCC Statistical Consultant team is passionate about statistics and research design and excited about the idea of answering a broad range of advanced statistical questions from across disciplines.
Consultants
Peter Johnson is a PhD candidate studying Quantitative Methods in Educational Psychology at the Graduate Center. His areas of experience include Item Response Theory, Generalized Regression Models, Bayesian methods, Meta-analysis, and various other statistical techniques for analyzing data in both psychological and non-psychological contexts. He primarily uses R, with experience in SPSS, JASP, Mathematica, and the Stan language.Outside of his research, Peter is an adjunct statistics lecturer at Hunter College.
Nancy Yeh is a PhD candidate in Economics at the Graduate Center. She works in quantitative economics, with experience in numerical methods and optimization techniques, parameterized expectations, and machine learning models. She also has extensive experience working with large datasets and in using advanced econometric techniques, including panel and spatial econometrics. She primarily uses Matlab, Python, and Stata, and has previously done some work in R.
Outside of her research, Nancy is a lecturer at Hunter College and a consultant for the New York Community Trust.
Past Consultants
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