I am an Associate Professor in the Cognitive Science and Artificial Intelligence department at Tilburg University in the Netherlands. From September 2020 to December 2023 I was the Program Director of the Data Science and Society Masters Program.
My research focuses on using machine learning and statistical models to predict and understand health, well-being, and learning. Recently I've worked on projects that study how phone use and well-being are related (machine learning), and how visual imagery might be a target for interventions to help people with bipolar disorder (statistical modeling).
I teach machine learning and supervise Data Science Master's students thesis projects.
You can reach me via email at: a[dot]hendrickson[AT]tilburguniversity[dot]edu.
Mousavi, S., Powell, W. A., Louwerse, M. M., and Hendrickson, A. T. (2023). Behavior and self-efficacy modulate learning in virtual reality simulations for training: A structural equation modeling approach. Frontiers in Virtual Reality, 4:1250823. [DOI ]
Aalbers, G., Hendrickson, A. T., vanden Abeele, M. M. P., de Marez, L., and Keijsers, L. (2023). Qualitatively different individuals require qualitatively different models: Digital phenotyping of stress from an idiographic machine learning perspective. JMIR mHealth uHealth. [DOI ]
van den Berg, K., Hendrickson, A. T., Halees, S. A., Voncken, M., and Keijsers, G. (2023). Comparing the effectiveness of imagery focussed cognitive therapy to group psychoeducation for patients with bipolar disorder: A randomised trial. Journal of Affective Disorders. [pdf ]
Aalbers, G., vanden Abeele, M. M. P., Hendrickson, A. T., de Marez, L., and Keijsers, L. (2022). Caught in the moment: Are there person-specific associations between momentary procrastination and passively measured smartphone use? Mobile Media & Communication. [DOI ]
Ratcliff, R. and Hendrickson, A. T. (2021). Do data from mechanical turk subjects replicate accuracy, response time, and diffusion modeling results? Behavior Research Methods, pages 1 -- 24. [DOI ]