Faculty Reflections

Jennifer Hill Jennifer Hill - Co-Director / Associate Professor of Applied Statistics
Jennifer Hill works at the intersection of social policy research and methodological development. She is interested in methods and study designs that allow researchers to go beyond making purely associational observations to actually be able to answer causal questions. In particular she focuses on situations in which it is difficult or impossible to perform traditional randomized experiments,or when even seemingly pristine study designs are complicated by missing data or hierarchically structured data. Hill has published in a variety of leading journals including Journal of the American Statistical Association, American Political Science Review, American Journal of Public Health, and Developmental Psychology. Hill earned her PhD in Statistics at Harvard University in 2000 and completed a post-doctoral fellowship in Child and Family Policy at Columbia University's School of Social Work in 2002.

 

Marc Scott Marc Scott - Co-Director / Associate Professor of Applied Statistics
Dr. Scott's research involves the development of statistical models for longitudinal data. Using latent variable technology, he developed a new class of covariance models for such data, and has used them to examine recent trends in wage inequality. More recent applications include medical histories. He also works on models for longitudinal sequence analysis. In the educational setting, such models examine the influence of the entire pathway (e.g., the timing of educational and employment spells and interruptions to these) on an outcome measure such as wages or degree completion. In current work on low-wage labor markets, such models seek to find similar structure in the career histories and education of workers to identify more and less “successful” career ladders. This work is a part of a larger project on Service Sector employment at University of Wisconsin's Center on Wisconsin Strategy (COWS).

The assessment of the participation and outcome patterns in postsecondary occupational education was part of the U.S. Department of Education's National Assessment of Vocational Education (NAVE). Dr. Scott has an affiliation with the Institute on Education and the Economy, Teachers College, Columbia University, where that work was centered. More recent work as a fellow at NYU's Institute on Education and Social Policy centers on spatial analyses of school-level test results.

Dr. Scott teaches the Advanced Quantitative Methods I & II (E10.2081,2082), Biostatistics I & II (RESCH-GE 2995,2996), Experimental and Quasi-Experimental Design (RESCH-GE 2134) and the Statistical Counseling (RESCH-GE 2401) courses. Has has taught Basic Statistics I (RESCH-UE 1085) as well. Fall 2005, he taught a new Spatial Statistics course (E10.2090). He serves as co-director with Lisa Stulberg of the Interdepartmental Research Studies (IDRS) program; follow this link to website for descriptions of this program and links to course schedules and syllabi.

 

Peter Halpin - Assistant Professor of Applied Statistics.
Peter Halpin's research focuses on psychometrics and educational measurement. His recent projects have addressed the role of test anxiety in high-stakes assessment and model specification issues concerning the use of continuous versus discrete latent variables. His current projects include the development of models for the time series analysis of computer-administered collaborative problem solving tasks, and addressing measurement challenges in the use of in-classroom observational instruments for teacher evaluation. Halpin has been published in Psychometrika, Structural Equation Modeling, and Multivariate Behavioral Research. In 2010 he received his doctorate from Simon Fraser University in Vancouver, Canada, and held a Natural Science and Engineering Research Council of Canada postdoctoral fellowship at the University of Amsterdam through 2012.

 

Ying LuYing Lu - Assistant Professor of Applied Statistics
Before joining NYU Steinhardt, Ying Lu was an assistant professor at the Departments of Sociology, and Political Science at University of Colorado at Boulder. She was also a faculty affiliate at the Institute of Behavioral Science at UCB. Her primary research interest is quantitative methodology in social and behavioral sciences, with applications in demography, health and political behavior. Her current research also includes general statistical methodology such as model selection and hypothesis testing for high dimensional data.

She has a unique interdisciplinary educational background with a Ph.D. in Public Policy and Demography from Princeton University (2005) and a Ph.D. in Statistics from University of North Carolina at Chapel Hill (2009).

 

Joel MiddletonJoel Middleton - Visiting Assistant Professor of Applied Statistics.
Joel Middleton's interests include design based estimation and causal inference in randomized experiments. He also studies voter behavior and political persuasion, and he has 10 years experience designing surveys and experimental interventions for political organizations. Dr. Middleton received his PhD in Political Science from Yale University, a Masters in Statistics from The George Washington University, a Masters in Psychology from Brown University, and his BS from Lewis and Clark College.

 

Sharon WeinbergSharon Weinberg - Professor of Applied Statistics and Psychology
Sharon Lawner Weinberg is Professor of Applied Statistics and Psychology at New York University. She received an A.B. degree in mathematics and a Ph.D. degree in psychometrics and research design methodology from Cornell University. Dr. Weinberg has authored over fifty articles, books, and reports on statistical methodology, statistical education, evaluation, and on such applied areas as clinical and school psychology, special education, and higher education. She is the recipient of several major grants from Federal agencies, including the National Science Foundation, the National Institute of Drug Abuse, and the Office of Educational Research and Improvement. A second edition of her book, Statistics Using SPSS: An Integrative Approach, co-authored with Sarah Knapp Abramowitz of Drew University, was recently published by Cambridge University Press (2008). She is under contract with Routledge Press to co-edit, "Diversity in American Higher Education: Toward a More Comprehensive Approach," with her NYU colleague Lisa Stulberg. She recently was invited to become a member of the Editorial Advisory Board of the Educational Researcher, an official journal of the American Educational Research Association, for a three-year term.

In January, 2006, she completed a six and one-half year term as Vice Provost for Faculty Affairs at NYU. She currently is President of the Board of the Jewish Foundation for Education of Women (JFEW). She is a member of the President’s Council of Cornell Women, where she chaired the Development Committee and the University Relations Committee. She also is on the Administrative Board of the Cornell University Council, and has served as Chair of the NYU Faculty Senators Council, as President of the Special Interest Group of Educational Statisticians of the American Educational Research Association, as a member of the Board of Directors of the Classification Society, and as an elected member of the Society of Multivariate Experimental Psychologists.