Klint Kanopka

Klint Kanopka is an Assistant Professor of Applied Statistics. He holds a PhD in Education and an MS in Computer Science from Stanford University and a BS in Physics from Drexel University.

Dr. Kanopka’s primary research interests lie at the intersection of psychological measurement and computational modeling. His recent work includes the development of a mixture item response model that accounts for effects caused by variation in item position, innovations in model comparison methods for polytomous item response models, and the use of flexible machine learning models to combine behavioral data and item response data. In addition to applying computational methods, Dr. Kanopka is also passionate about the teaching of computational methods, having previously developed and taught introductory machine learning courses for social science research.

Before coming to NYU, Dr. Kanopka was completing his doctoral studies at the Stanford University Graduate School of Education. Prior to that, he taught high school physics in the Philadelphia School District.