Dilhan Töredi is a postdoctoral researcher within the network. She defended her doctoral thesis on reducing and measuring the cross-race effect in face recognition in August 2024. During her doctoral research, she developed a novel self-report inventory to predict eyewitness identification accuracy across different race groups and researched the role of individual differences in eyewitness accuracy and confidence. Following, Dilhan worked as a postdoctoral researcher in the Penrod Lab at John Jay College of Criminal Justice. There, she researched AI-based methods of manipulating suspect–filler similarity in lineups to enhance eyewitness performance. Dilhan holds a BA in Psychology from Koç University, an MSc in Legal Psychology from Maastricht University, and a PhD in Applied Psychology from Queen Margaret University of Edinburgh.
Her current research focuses on improving interviewing strategies in asylum contexts, particularly through an empirical cross-cultural experimental paradigm in which the ground truth of asylum claims is known. She is also exploring the potential applications of AI in this work. In addition, Dilhan’s broader research interests include avatar-based interviewer training and cross-cultural decision-making in asylum settings, along with continued work on individual differences in eyewitness psychology and jury decision-making.
