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About Elisabeth
Elisabeth Huis in 't Veld is Associate Professor in the Department of Computational Cognitive Science at Tilburg University's Tilburg School of Humanities and Digital Sciences. She obtained her BSc in Health Psychology in 2003, Research Master in Medical and Clinical Psychology with distinction in 2010, and PhD in 2015 from Tilburg University. In 2019, she completed an Executive Master of Business Administration at TIAS Business School. Her professional career encompasses a postdoctoral position in Cognitive Neuroscience at Maastricht University (2015-2016), Senior Postdoc at Sanquin Blood Supply's Department of Donor Medicine Research in Amsterdam (2016-2018), and Group Leader there since 2018. At Tilburg University, she served as Assistant Professor in Cognitive Science and Artificial Intelligence from 2018 to 2026 before her promotion to Associate Professor. Since 2021, she is co-founder of AINAR B.V. She coordinates Master Thesis projects in Cognitive Science and Artificial Intelligence, Internship projects in Artificial Intelligence and Cybersecurity, supervises theses in Data Science and Society, and teaches Health Analytics and Programming for Data Science.
Her research expertise lies in cognitive and affective neuroscience, needle fear and vasovagal reactions, e-health, serious games, blood banking, donor studies, and artificial intelligence applications in healthcare. She develops innovative AI-based non-invasive tools, such as for hemoglobin estimation from fingernail images and predicting fainting during blood donations. Notable grants include NWO Veni (€250,000, 2018), NWO Take-Off Phase 2 (€250,000, 2022), NWO Open Science XS PRIMA (€50,000, 2023), and NWO Impact Explorer (€30,000, 2024). Awards comprise the VENI prize (2018) and Scott Murphy Memorial Award Lecture (2024); she will chair the Benelux Association for AI (BNVKI) from 2026. Key publications are 'Crowding Out Effects of Opt-out Defaults: Evidence from Organ Donation Policies' (PNAS Nexus, 2025), 'Predicting vasovagal reactions to needles from video data using 2D-CNN with GRU and LSTM' (PLOS ONE, 2025), 'Perceptual encoding of emotions in interactive bodily expressions' (iScience, 2024), 'The Body Action Coding System I: muscle activations during the perception and expression of emotion' (Social Neuroscience, 2014), and 'Determinants of blood donation willingness in the European Union' (Transfusion, 2019). Her contributions enhance donor retention, health monitoring, and psychophysiological AI applications.
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