Associate Professor of Applied Statistics; Director of A3SR MS Program
Daphna Harel is an applied statistician who studies issues of measurement and modeling in the applied health sciences. Her research focuses on modeling challenges for data arising from self-reported questionnaires and crowdsourcing, and requiring the use of multilevel models. Her methodological work focuses on the creation of theoretically justified guidelines for statistical analysis and issues of model misspecification in polytomous Item Response Theory, and the shortening of patient reported outcome measures. Harel received her PhD from the Department of Mathematics and Statistics at McGill University.
Her most recent work is in improving statistical practice as it pertains to LGBTQIA+ individuals and their data, as well as improving societal outcomes for members of this community. She currently PI's the NYU QUEER data lab.