Professor, Educational Studies & Combined Program in Education & Psychology (CPEP)
University of Michigan
Matthew Diemer is a Professor in the Combined Program in Education & Psychology (CPEP) and Educational Studies programs at the University of Michigan. Diemer harnesses advanced quantitative methods to examine how young people develop critical consciousness - the capacity to reflect on, negotiate, and challenge racial, ethnic, socioeconomic and other constraints in school, college, work, and civic/political institutions. His research is currently funded by the Spencer Foundation, William T Grant Foundation, Institute for Education Sciences, National Institute of Health, National Science Foundation, and the Corporation for National and Community Service.
Diemer teaches Psychometrics and Structural Equation Modeling courses and provides statistical consultation to the campus community at the University of Michigan. He has delivered invited lectures and workshops on these and other quantitative topics domestically and internationally. He also serves as the Statistical Consultant for the Psychology of Women Quarterly. Finally, Diemer was nominated for the campus-wide "Golden Apple" teaching award and is currently a finalist for the Provost's "Teaching Innovation Prize," both to recognize his quantitative courses at the University of Michigan.
Postdoctoral Research Associate, Computer Science
Carnegie Mellon University
Jeffrey Girard is a Postdoctoral Research Associate in the School of Computer Science at Carnegie Mellon University. He studies interpersonal communication, nonverbal behavior, and psychopathology using an interdisciplinary set of quantitative methods including multilevel modeling, latent variable modeling, machine learning, computer vision, and natural language processing. The goals motivating his work are to (a) improve our basic understanding of how intentions, emotions, and traits are expressed through behavior, (b) develop and validate computational tools that support assessment and decision-making in psychiatry, and (c) serve as an interdisciplinary translator and liaison between psychology/psychiatry and computer science. The work of Jeffrey and his collaborators is currently funded by the National Science Foundation, the National Institutes of Health, and the University of Pittsburgh Medical Center.
Jeffrey Girard teaches a course on multimodal affective computing at Carnegie Mellon University and provides statistical consultation to researchers at numerous universities. He has a passion for teaching and has delivered invited workshops on quantitative methods both domestically and internationally. He is also an active participant in the open-source and open-science movements and has authored several open-source software packages (in R and MATLAB) that facilitate research and quantitative analysis
Associate Professor, Biostatistics
University of Michigan
Kelley M. Kidwell is an associate professor of Biostatistics at the University of Michigan School of Public Health. Her methodological focus is on the design and analysis of sequential, multiple assignment, randomized trials (SMARTs). Dr. Kidwell is the PI of a PCORI funded methodology grant applying SMARTs to rare disease research and co-investigator of numerous NIH and industry sponsored grants, including 2 SMARTs that are currently accruing. Collaboratively, she is interested in novel and standard trial design and analysis across a wide variety of settings, especially oncology and other chronic diseases.
Assistant Professor, Psychology
University of Pittsburgh
Aidan Wright is an Assistant Professor in the Department of Psychology at the University of Pittsburgh. He studies the interface of personality and psychopathology using a variety of advanced quantitative methods including latent variable modeling and multilevel/dynamic structural equation modeling. He is an Associate Editor for the Journal of Personality, and he is the co-editor for the Cambridge Handbook on Research Methods in Clinical Psychology. His research is currently funded by several of the National Institutes of Health.
Aidan Wright teaches structural equation modeling and applied longitudinal data analysis courses and provides statistical consultation to the Department of Psychology at the University of Pittsburgh. He has delivered invited workshops on these and other statistical topics domestically and internationally. He also serves as the primary statistical methodologist or statistical consultant on a number of federally funded projects, was the chair of the Advanced Methodology and Statistics Seminars Committee for the Association of Behavioral and Cognitive Therapies, and serves as a quantitative methodology consulting editor at the Journal of Consulting and Clinical Psychology.