Mark Andrews

Dr. Mark Andrews is an Associate Professor of Statistical Methods in the Department of Psychology at Nottingham Trent University (NTU). He specializes in teaching advanced statistical techniques, data science, and machine learning using R and Python. As course leader for the MSc in Behavioural Data Science, he designs and leads programs integrating computational methods with psychological research. His academic background includes a PhD and MSc in Cognitive Science from Cornell University, followed by postdoctoral research at University College London's Gatsby Computational Neuroscience Unit and the Division of Psychology and Language Sciences.

Research interests focus on statistical methodologies in social and behavioral sciences, computational cognitive science, and neuroscience. He advocates for rigorous research practices, emphasizing Bayesian methods and reproducibility. Professional roles include Chair of the British Psychological Society's Mathematical, Statistical, and Computing Psychology section, and membership in the Royal Statistical Society's teaching committee. Collaborations span institutions like the University of Leeds and Trinity College Dublin, advancing interdisciplinary approaches to data analysis and cognitive modeling.

• Education:
• PhD and MSc in Cognitive Science, Cornell University
• Postdoctoral Fellowships at University College London

Publications span statistical theory, cognitive science, and applied methodologies, with notable contributions to Bayesian models of memory, semantic representation, and the replication crisis in psychology. His work bridges theoretical frameworks with practical applications, influencing both academic research and industry data practices.