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TMM Network

People

Meet the researchers behind TMM

Coordinating Team

Maria Robinson

Maria Robinson

University of Warwick

Behavioural Science Group

About

Maria Robinson is an assistant professor in the Behavioral Science group in the Psychology Department at the University of Warwick. Her primary research interest is in combining formal modeling and analysis with empirical work to study a range of cognitive processes, including attention, memory, and metacognition. She is also interested in best practices in measurement and theory assessment in psychology, particularly in how to build quantitative models in laboratory settings that can generalize to behavior in the real world.

Niels Vanhasbroeck

Niels Vanhasbroeck

University of Amsterdam

Psychological Methods

About

Niels Vanhasbroeck is a mathematical psychologist with a special interest in (non)linear models capturing psychological processes such as emotions, attitudes, and pedestrian behavior. He seeks to bridge mathematical models and psychological theory, allowing for the formulation of theory through the language of mathematics and its testing through phenomena generation and direct engagement with data. He furthermore asks what types of psychological phenomena allow for mathematical description and what we learn through this quantification—connecting qualitative phenomena to quantitative measurement.

Kenny Yu

Kenny Yu

KU Leuven

Quantitative Psychology and Individual Differences

About

Kenny Yu is a mathematical psychologist who investigates the conditions under which computational models of cognition live up to their claims — that behavior can be decomposed into distinct processes, that model parameters correspond to the processes they purport to measure, and that fitting data constitutes evidence for theory. He builds probabilistic models of human learning and generalization that formally separate the cognitive mechanisms contributing to observed behavior. Methodologically, he asks when a model parameter genuinely measures the process it names, what data is needed to tell competing theories apart, and how model generalisability relates to explanatory power.

Network Members

Sigert Ariens

Sigert Ariens

KU Leuven

Quantitative Psychology and Individual Differences

About

Sigert Ariens is a mathematical psychologist focused on the dynamic paradigm in psychological science. His main areas of research are model interpretation, study design, and misspecification. He has developed a framework and software tools to help researchers interpret dynamic model structures and align them with psychological hypotheses, and works on study designs which aim to maximize the amount of information about the dynamic parameters. His work on misspecification criticizes atheoretic methods for handling dependence over time.

Laura Bringmann

Laura Bringmann

University of Groningen

Department of Psychometrics and Statistics

About

Laura Bringmann is an associate professor at the Department of Psychometrics and Statistics at the University of Groningen, and heads the LaBlab (Laura Bringmann's intensive longitudinal data lab). Her research focuses on bridging the gap between fields such as statistics, philosophy, methodology, and clinical psychology.

Marina Dubova

Marina Dubova

UC Berkeley

Cognitive Epistemology Lab

About

Marina Dubova is an assistant professor at UC Berkeley, where she directs the Cognitive Epistemology Lab. She studies the cognitive mechanisms of scientific discovery, using computational modeling and empirical work with scientists to understand how we actually observe and build theories about the world, and how we ought to.

Markus Eronen

Markus Eronen

University of Groningen

Department of Theoretical Philosophy

About

Markus Eronen is an associate professor at the University of Groningen (Department of Theoretical Philosophy), working on philosophy of science and the limits and possibilities of developing psychological theories and causal explanations.

Andrew Heathcote

Andrew Heathcote

University of Amsterdam & University of Newcastle

Amsterdam Mathematical Psychology Laboratory

About

Andrew Heathcote is a cognitive scientist whose work centres on evidence accumulation models of rapid decision-making. He is known for developing the Linear Ballistic Accumulator (LBA), a widely used model for understanding how people make choices across laboratory, occupational, and clinical settings. His research integrates mathematical modelling with cognitive science to investigate memory, skill acquisition, and decision control across the lifespan.

Craig Hedge

Craig Hedge

Aston University

School of Psychology

About

Craig Hedge is a cognitive psychologist interested in attention control and decision-making. He is particularly interested in whether cognitive modelling improves our ability to predict and explain individual differences in real-world behaviours, relative to traditional behavioural measures.

David Kellen

David Kellen

Syracuse University

Department of Psychology

About

David Kellen is a cognitive psychologist and associate professor in the Department of Psychology at Syracuse University. His research focuses on recognition memory, judgment and decision making, and the development and evaluation of formal models in cognitive psychology. Much of this work centers on signal detection theory and probabilistic models of choice.

Adam Sanborn

Adam Sanborn

University of Warwick

Behavioural Science Group

About

Adam Sanborn is a cognitive scientist interested in the rationality of human behaviour, which he studies with Bayesian models, approximations to Bayesian models, and behavioural experiments. He is interested in developing general-purpose models of cognition that can explain why human behaviour broadly corresponds to Bayesian models, yet also show strong deviations.

Francis Tuerlinckx

Francis Tuerlinckx

KU Leuven

Quantitative Psychology and Individual Differences

About

Francis Tuerlinckx is a psychometrician and professor of Quantitative Psychology and Individual Differences at KU Leuven in Belgium. His research deals with the mathematical modeling of various aspects of human behavior. More specifically, he works on item response theory, reaction time modeling, and dynamical systems data analysis.

Wolf Vanpaemel

Wolf Vanpaemel

KU Leuven

Quantitative Psychology and Individual Differences

About

Wolf Vanpaemel is head of the Research Group of Quantitative Psychology and Individual Differences at KU Leuven. His research is situated within mathematical psychology and centers on methodological and metascientific issues, including Bayesian statistics, and the concept of the data prior as a tool for severe theory testing. He recently authored a resource for scrutinizing and replicating studies: Evaluating and replicating studies: A practical guide (available at earsguide.io).