Christopher Madan

Madan is interested in how psychological questions can be turned into rigorous, answerable research. His work often begins with a broad question—why certain experiences are remembered, how past outcomes influence later choices or how brain structure varies across people—and then considers which methods are best suited to investigating it. This problem-driven approach has led him to work across behavioural experiments, neuroimaging, computational modelling, large open datasets, evidence synthesis and qualitative research. He is particularly interested in cases where established methods are not sufficient and new measures, analytical approaches or research workflows are needed. This has also motivated his work on reproducibility, measurement, analytic robustness and the development of practical tools and tutorials for researchers. His teaching reflects the same emphasis on connecting questions, evidence and methods. Rather than treating research design and statistics as isolated technical requirements, he encourages students to consider how each decision affects what a study can meaningfully conclude. He aims to help students become thoughtful consumers of psychological evidence and confident producers of their own research. He is also interested in supporting students as they identify the kinds of questions, methods and career paths that best fit their own interests. Much of his scholarly work on research practice and career development is motivated by making academic knowledge and professional pathways more transparent and accessible. | Cognitive psychology; cognitive neuroscience; memory; decision making; autobiographical memory; emotion; prior knowledge; brain morphology; structural neuroimaging; computational modelling; reproducibility; qualitative research

Christopher Madan is Assistant Professor | Cognition and Neuroscience Research Group Member at MacEwan University. Their stated interests include Madan is interested in how psychological questions can be turned into rigorous, answerable research. His work often begins with a broad question—why certain experiences are remembered, how past outcomes influence later choices or how brain structure varies across people—and then considers which methods are best suited to investigating it. This problem-driven approach has led him to work across behavioural experiments, neuroimaging, computational modelling, large open datasets, evidence synthesis and qualitative research. He is particularly interested in cases where established methods are not sufficient and new measures, analytical approaches or research workflows are needed. This has also m. This summary considered all 2 collected sources.