William Revelle is a professor of psychology at Northwestern University. As a personality psychologist, his interests range from the biological bases to computational models of personality as means to understand the sources and consequences of individual differences in temperament, cognitive ability and interests. He is particularly interested in applying quantitative methods to studying psychological phenomena.
David M. Condon is an Assistant Professor in the Department of Medical Social Sciences at Northwestern University’s Feinberg School of Medicine. His research focuses on the development of individual differences assessment models and the application of these models to predict a wide range of important life outcomes.
Joshua Wilt is a postdoctoral fellow in the department of psychological sciences at Case Western Reserve University, Cleveland, Ohio. His research investigates the affective, behavioral, cognitive, and desire (ABCD) components that are relevant to personality structure and function. His current work examines ABCDs within the context of personality traits and narrative identity.
Jason A. French is a doctoral candidate in personality and cognitive psychology at Northwestern University. His research examines how to measure interests in the broader context of ability and temperament. He has focused on the development of scientific interests.
Ashley Brown is a doctoral candidate in personality and health psychology at Northwestern University. Her research focuses on computational models of personality, with an emphasis on individual differences in affective experience. She is currently designing a simulation that blends elements of Gray’s Reinforcement Sensitivity Theory and Revelle’s Cues-Tendencies-Actions model.
Lorien G. Elleman is a PhD psychology student at Northwestern University. His research interests include: exploring personality at the facet and item levels to increase the magnitude of correlations between personality and life outcomes, geographical clustering of personality and sociodemographic correlates, and constructing new behavioral measures of personality using big data.