Katie Aafjes-van Doorn

Dr Katie Aafjes - van Doorn is Associate Professor of Psychology at NYU Shanghai, where she is the area head of Social Sciences and leads the AI for Social Good cluster at the AI center. She completed a MSc in Clinical Psychology at the Vrije Universiteit Amsterdam, Netherlands, and MSc in Psychological Research, and Doctoral degree in Clinical Psychology at University of Oxford, United Kingdom. She worked in San Francisco, California, and gained licensure as Clinical Psychologist in New York. She previously worked as Associate Professor at Ferkauf Graduate School of Psychology, Yeshiva University, in New York.  Dr Aafjes-van Doorn is also the Associate Editor for the APA journal Clinical Psychology: Science & Practice, and co-founder of the startup company Deliberate.ai that develops 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 (inter)national 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, and the use of AI-based tools, routine measurements, and the use of video recordings in treatment and supervision. 

Select Publications

• Aafjes-van Doorn, K., Cicconet, M., Bate, J., Cohn, J. F., & Aafjes, M. (2025). Development of an artificial intelligence-based measure of therapists’ skills: A multimodal proof of concept. Psychotherapy, 62(3), 301–314. https://doi.org/10.1037/pst0000561 

• Aafjes-van Doorn, K. (2025). Feasibility of artificial intelligence‐based measurement in psychotherapy practice: Patients' and clinicians' perspectives. Counselling and Psychotherapy Research. 25(1), e12800. https://doi.org/10.1002/capr.128002

• Hopwood, Aafjes-van Doorn et al., (2025). Is psychological research producing the kind of knowledge clinicians find useful? American Psychologist https://doi.org/10.1037/amp0001538 

• Aafjes-van Doorn. K. & Girard, J., (2024) From Intuition to Innovation: Empirical Illustrations of Multimodal Measurement in Psychotherapy Research. Psychotherapy Research. Online Advance Publication. https://doi.org/10.1080/10503307.2024.2445664 5

• Aafjes-van Doorn, K., Cicconet, M., Cohn, J., & Aafjes, M. (2024). Predicting working alliance in psychotherapy: A multi-modal machine learning approach. Psychotherapy Research 1–15. https://doi.org/10.1080/10503307.2024.24287026

• Aafjes-van Doorn, K., Kamsteeg, C., Bate, J., & Aafjes., M. (2021). A scoping review of machine learning in psychotherapy research. Psychotherapy Research, 31(1), 92-116. https://doi.org/10.1080/10503307.2020.1808729&nbsp

• Aafjes-van Doorn, K. Porcerelli, J., & Müller-Frommeyer, L. C., (2020). Language style matching in psychotherapy: An implicit aspect of alliance. Journal of Counseling Psychology. 67(4), 509–522. https://doi.org/10.1037/cou0000433

https://www.linkedin.com/in/aafjesvandoorn/

https://www.researchgate.net/profile/Katie-Aafjes-Van-Doorn

Education

• DClinPsy, Clinical Psychology
  University of Oxford, United Kingdom
• MSc, Psychological Research
  University of Oxford, United Kingdom
• MSc, Clinical Psychology 

  Vrije Universiteit Amsterdam, the Netherlands

   

Research Interests

• Bridging the gap between research and clinical practice
• Psychotherapy and psychotherapy training
• Therapeutic relationship in in-person therapy and teletherapy.
• Routine outcome monitoring and deliberate practice
• Multi-modal (audio, video, language) methods to examine different (un) conscious aspects of the therapeutic relationship