Rate My Professor Katie Aafjes-van Doorn

Dr. Katie Aafjes-van Doorn is Associate Professor of Psychology at NYU Shanghai, New York University, where she serves as Area Head of Social Sciences and leads the AI for Social Good cluster at the AI center. She completed an MSc in Clinical Psychology at Vrije Universiteit Amsterdam, Netherlands, an MSc in Psychological Research, and a Doctoral degree in Clinical Psychology at University of Oxford, United Kingdom. She worked in San Francisco, California, and gained licensure as a Clinical Psychologist in New York. Previously, she served as Associate Professor at Ferkauf Graduate School of Psychology, Yeshiva University, in New York. Dr. Aafjes-van Doorn is Associate Editor for the APA journal Clinical Psychology: Science & Practice and co-founder of Deliberate.ai, a startup developing AI-based multi-modal assessments for mental health. She has published over 100 peer-reviewed papers, co-authored several books and chapters, and is a regular speaker at international conferences.

A defining aspect of her work lies at the intersection of technology and clinical practice. Her research focuses on psychotherapy research and training, and the use of AI in developing automated feedback for clinicians. She is particularly interested in the therapeutic relationship in teletherapy and digital mental health interventions, AI-based tools, routine measurements, and the use of video recordings in treatment and supervision. Key publications include Aafjes-van Doorn et al. (2025) 'Development of an artificial intelligence-based measure of therapists’ skills: A multimodal proof of concept' in Psychotherapy; Aafjes-van Doorn (2025) 'Feasibility of artificial intelligence-based measurement in psychotherapy practice' in Counselling and Psychotherapy Research; Hopwood, Aafjes-van Doorn et al. (2025) 'Is psychological research producing the kind of knowledge clinicians find useful?' in American Psychologist; Aafjes-van Doorn & Girard (2024) 'From Intuition to Innovation: Empirical Illustrations of Multimodal Measurement in Psychotherapy Research' in Psychotherapy Research; Aafjes-van Doorn et al. (2024) 'Predicting working alliance in psychotherapy: A multi-modal machine learning approach' in Psychotherapy Research; Aafjes-van Doorn et al. (2021) 'A scoping review of machine learning in psychotherapy research' in Psychotherapy Research; and Aafjes-van Doorn, Porcerelli, & Müller-Frommeyer (2020) 'Language style matching in psychotherapy' in Journal of Counseling Psychology.