ZiF Cooperation Group
Statistical Models for Psychological and Linguistic Data
August 2019 - Juli 2021
Convenors: Reinhold Kliegl (Potsdam, GER), Harald Baayen (Tübingen, GER), Douglas Bates (Madison, USA)
|Reinhold Kliegl (Potsdam, GER)
Reinhold Kliegl received his PhD at the University of Colorado in Boulder in psychology. He worked as a research scientist at the Max Planck Institute for Human Development, Berlin, before joining the University of Potsdam, Germany, as professor of experimental psychology. His research focuses on how the dynamics of language-related, perceptual, and oculomotor processes subserve attentional control, using reading tasks as an experimental venue. His primary interest in mixed models is theory-guided simultaneous modeling of (quasi-) experimental effects and individual / item differenes in (quasi-) experimental effects.
|R. Harald Baayen (Tübingen, GER)
Harald Baayen received his PhD at the Free University of Amsterdam in linguistics. He joined the scientific staff at the Max Plank Institute for Psycholinguistics, Nijmegen, before moving to the faculty at the University of Alberta, Edmonton, and then to Eberhard Karls University, Tübingen, as a Professor of Quantitative Linguistics. His work focuses on human speech, both how it is generated and how it is processed by the brain and machines. He has a long-standing interest in statistical methods, including linear mixed models, and a particular interest in the combination of generalized additive mixed models and quantile regression.
|Douglas M. Bates (Madison, USA)
Douglas Bates received his PhD at Queen's University in Kingston in statistics and is now professor emeritus at the University of Wisconsin in Madison. His specialty are generalized linear and nonlinear mixed models. He is a founding member of the R Core Team and the author of numerous packages in this computing environment, among them lme4 and matrix. In recent years he has shifted his primary involvement to the Julia Programming Language with a focus on the implementation of a MixedModels package and computational interfaces with R.
|Phillip M. Alday
Phillip Alday received his doctorate from the University of Marburg. After working for two years at the University of South of Australia, he is now at the Max Planck Institute for Psycholinguistics. His research focuses on the electrophysiology of language. He is particularly interested in using modern statistical and signal processing methods to conduct previously impossible experiments.
Christina Bergmann received her PhD from Radboud University Nijmegen, The Netherlands. After a post doc at Ecole Normale Superieure in Paris, France, she now works at the Max Planck Institute for Psycholinguistics. Christina studies early word learning using behavioral methods and computational modeling and actively participates in the large-scale developmental ManyBabies collaboration (manybabies.stanford.edu; governing board member) and applies meta-scientific methods to infant data (metalab.stanford.edu).
Lisa DeBruine is a professor in the Institute of Neuroscience and Psychology at the University of Glasgow and a founding member of the Psychological Science Accelerator. See https://debruine.github.io/ for tutorials, open access teaching materials on data skills for reproducible science, shiny apps, and other open science odds and ends.
Dave Kleinschmidt received his Ph.D. at the University of Rochester in brain and cognitive sciences. He recently joined the Rutgers faculty after a post-doc at the Princeton Neuroscience Institute. Research in his Learning, Adaptation, and Perception Lab (LeAP Lab) focuses on perception in a variable, multi-context world. His work uses a combination of methods, from behavioral experiments to computational modeling to cognitive neuroscience.
|José Bayoán Santiago Calderón
José Bayoán Santiago Calderón received his PhD in economics from Claremont Graduate University. He is currently a postdoctoral research associate at the Social & Decision Analytics Division of the Biocomplexity Institute & Initiative at the University of Virginia. Bayoán has previously worked as a data scientist and software developer in the areas of demand-side management (DSM) and pharmacokinetics. He is also an active member of the Julia language community contributing, developing, and maintaining several packages.
Milan Bouchet-Valat received his PhD in Sociology from Sciences Po in Paris. He is now a researcher at the French Institute for Demographic Studies (Ined), where he studies class and gender inequalities and quantitative methods in social sciences. The author of several R packages, he contributes since 2014 to the Julia language and to data and statistics Julia packages.
Shravan Vasishth received his PhD at the Ohio State University in linguistics. After obtaining his PhD, he moved to the University of Saarland for postdoctoral research. Now he is professor of psycholinguistics at the University of Potsdam. He develops computational models of human sentence comprehension, focusing on both impaired and unimpaired populations. He is especially interested in modeling individual differences in language comprehension. He is also very much interested in statistical theory and practice, particularly in using Bayesian methods for data analysis and for computational modeling.