Talks & Media
Part of the work is explaining it both within and beyond academia: to clinicians, students, patient organizations, and people living with obsessive-compulsive disorder, anxiety, or depression. This page brings together interviews, public engagement, invited talks, conference presentations, teaching, and supervision.
Interviews and public engagement
KNAW-beurs maakt internationaal onderzoek naar psychische aandoeningen bij jongeren mogelijk Leiden University, September 2026. On the KNAW Ter Meulen Beurs supporting six weeks of work with the University of Southern California and the University of Michigan, analysing brain scans from roughly 15,000 young people across more than thirty countries to build what amounts to a growth curve for the brain. In Dutch. Read it in full
Paniekstoornis en het brein: grootste studie ooit Leiden University, May 2026. On the largest brain study of panic disorder to date, pooling nearly 5,000 MRI scans of children, adolescents and adults across the ENIGMA-Anxiety Consortium, on which I was joint first author. In Dutch. Read it in full
Clinical data predict the outcome of cognitive behavioural therapy in obsessive-compulsive disorder Psychiatry Amsterdam, 2025. A piece about our research on using clinical data to predict treatment outcomes in obsessive-compulsive disorder. Read it in full
Onderzoek naar stemmingsstoornissen bij jongeren Royal Netherlands Academy of Arts and Sciences (KNAW), 2024. On the Van der Gaag grant, and on using and normative modelling to study brain development in clinically anxious youth. In Dutch. Read it in full
Zoektocht naar biomarkers voor psychische aandoeningen Leiden University, June 2024. An interview about my PhD research, in Dutch. Read it in full
AI herkent angstige jongeren op basis van hun hersenstructuur Leiden University, March 2024. On our Nature Mental Health study, which used machine learning to identify anxiety disorders in some 3,500 young people aged 10 to 25 from sites across several continents. In Dutch. Read it in full
Een gesprek over biomarkers en machine learning in de psychiatrie NedKAD, the Dutch knowledge centre for anxiety and compulsive disorders, 2024. Another interview about my PhD research, in Dutch. Read it in full
“Ik zie niet alleen maar nullen en enen, maar ook patiënten” Folia, University of Amsterdam, 2018. Apparently, I gave quite a few interviews during my PhD. In Dutch. Read it in full
Invited talks
Dissecting Anxiety Through Brain Age Prediction, Symposium co-host and speaker, Society of Biological Psychiatry Annual Meeting, New York 2026
Neuroimaging Biomarkers in Psychiatry, Guest lecture, Imaging Genetics Center, Mark & Mary Stevens Neuroimaging & Informatics, Institute, Keck School of Medicine, University of Southern California 2024 and 2025
Machine Learning for Precision Psychiatry: Opportunities and Challenges Guest lecture, MICAN MSc course, Education and Child Studies, Leiden University 2024 and 2025
Individual prediction of ECT response in depression using multicentre neuroimaging data: for the GEMRIC consortium, Invited speaker ENIGMA-symposium, Society of Biological Psychiatry Annual Meeting, Chicago 2019
Conference presentations
ECNP Workshop for Early Career Scientists in Europe, Selected as an Early Career Scientist. Nice, 2019
3rd Bi-Annual Meeting of the Dutch, German and Belgian ECT workgroups University Psychiatric Center KU Leuven, campus Kortenberg Leuven, 2019
Amsterdam Neuroscience Annual Meeting, Johan Cruijff ArenA, Amsterdam Poster on ENIGMA-OCD classification, and a Pecha Kucha presentation on the ENIGMA-OCD working group. Amsterdam, 2018.
2nd Bergen workshop of the Global ECT-MRI Collaboration (GEMRIC), Bergen, 2018
Society of Biological Psychiatry Annual Meeting, Poster: Machine Learning Classification of Obsessive-Compulsive Disorder Using Structural Neuroimaging Data, a Benchmark for ENIGMA. New York, 2018
Teaching and supervision
PhD candidate, daily supervisor and co-promotor Biotype-based personalised rTMS treatment in OCD, Amsterdam UMC (2025 - present)
Guest lecturer, Leiden University, MSc Education and Child Studies Machine Learning for Precision Psychiatry (2024 - Present)
MSc supervision, research theses in Biomedical Sciences (UvA, 2018, 2018, 2020) and Clinical Neuropsychology (VU, 2020).
Editorial and advisory
OCDnet editorial board, 2019–present. OCDnet supports knowledge exchange about obsessive-compulsive disorder among patients, clinicians and researchers.
For the full record, see my CV.