Research interests

1. Tenured Academic Staff

 

 Prof. dr. Jan De Neve

• Regression methods based on ranks
• Semiparametric and nonparametric methods
• Probabilistic index models
  
  

Prof. dr. Tom Loeys

• Statistical modelling of correlated data (dyadic data, reaction times, EEG data,...)
• Multiplicity and stability issues in the analysis of fMRI-data
• Mediation analysis and causality
  
  

Prof. dr. ir. Thierry Marchant

• Axiomatic foundations of multicriteria decision aiding
• Voting theory with specific interest for the Borda method and scoring methods, Axiomatic and probabilistic aspects
• Measurement theory
• Decision under uncertainty
• Distributive justice
• Foundations of cognitive mapping
• Bibliometrics
  
  

Prof. dr. Daniele Marinazzo

• Brain connectivity
• Dynamical systems
• Complex networks and graph theory
• Computational neuroscience
  
  

Prof. dr. Beatrijs Moerkerke

• Multiple testing problems
• Optimal screening for promising genetic markers
• Testing for gene-environment interaction in family-based association studies
• Analysis of fMRI data
• Mediation analysis and causality
  
  

Prof. dr. Yves Rosseel

• Data analysis in the behavioral and brain sciences
• Development of data analysis software

2. Postdoctoral fellows

3. Ph. D. fellows

Jasper Bogaert

• Factor score regression
• SCM

Daniel Borek

• EEG and MEG analysis
• Neural oscillations
• Aperiodic signal
• Open science

Stijn Debrouwere

• Scientific methodology and philosophy of science
• Global sensitivity analysis and multiverse analysis
• statistical software and computationally intensive statistics

Sara Dhaene

• Structural Equation Modeling (SEM)

Julie De Jonckere

• Small sample research in Structural Equation Modeling

Marieke Fonteyn

• Bidirectional relationships and team dynamics in sports
• Statistical modeling of dyadic data
• Data analysis in behavioral and sport sciences

Lara Vankelecom

• Adaptive designs in psychological research

4. Alumni

Prof. em. dr. Wilfried De Corte

• selection in a decision context
  
  

Prof. dr. Geert De Soete

• Data analysis in the behavioral sciences

Freya Acar

• fMRI meta-analysis
• Coordinate-based meta-analysis
• Publication bias

dr Hannelore Aerts (2019)

• Functional and structural connectivity in health and disease
• Modeling brain activity

dr Hannes Almgren (2020)

• Effective and functional brain connectivity
•  Reproducibility in neuroscience
•  Multiple dataset analyses
•  Ageing/dementia

Tim Bal

• Decision theory
• Aggregation of probabilities
• Bayesian methodology

dr. Mariska Barendse

• Structural equation modeling
• Analysis of multilevel and/or discrete data

dr Iege Bassez (2021)

• Brain connectivity
• EEG statistics
• Migraine

dr Han Bossier (2019)

• Meta-analysis of fMRI data
• Group analysis of fMRI data

dr Elissa Burghgraeve (2021)

• Structural equation modeling
• Non-iterative estimation methods

dr Nigel Colenbier (2020)

• Brain connectivity
• Brain structure
• Hemodynamics

dr Jasper Degryse (2019)

• Multiple testing problems in fMRI data
• Functionally localizing brain regions of interest
  
  

dr Heidelinde Dehaene (2022)

• Regression methods based on ranks
• Semiparametric and nonparametric methods
• Probabilistic index models
• Data analysis in the behavioral sciences

dr Ines Devlieger (2020)

• Mediation analysis in multilevel settings
• Data analysis in the behavioral and brain sciences

Wouter De Vos 

• Brain connectivity
• Computational neuroscience
• Dynamical system identification

dr Fien Gistelinck (2019)

• Analysis of longitudinal dyadic data
• Actor-Partner Interdependence Model (APIM)

dr Haeike Josephy (2018)

• Within-subjects mediation analysis
• Causality
  
  

dr Wen Wei loh

• Causal inference in randomized experiments
• Inferring causal effects in mediation analysis
• Statistics, biostatistics, machine learning

dr Justine Loncke (2019)

• Longitudinal data analysis
• Social Relations Model

dr Sanne Roels (2016)

• Analysis of fMRI data
• Design efficiency in fMRI studies

Anna Snoeck

• Mediation analysis and causality 
• Data analysis in behavioral sciences
• Development of data analysis software

dr Lara Stas (2019)

• Analysis of dyadic processes
• Social Relations Model

dr Wouter Talloen (2018)

• Mediation analysis in multilevel settings
• Causality

dr Leonard Vanbrabant (2018)

• Order constraints
• Power and small samples
• Bootstrapping

Sofie Van Den Bossche 

• Brain connectivity
• fMRI statistics (rest/task)
• Hemodynamics
• Lateralization

dr Frederik Van de Steen (2018)

• EEG and fMRI data analysis
• Brain connectivity
• Reward and cognitive processing

dr Katharina Wegner (2021)

• Cognitive control, mental effort and fatigue
• Analysis of neural time series data
• Brain connectivity
• Dynamic causal modeling