I am an AI and machine learning researcher, motivated about reliable and trustworthy AI for truly useful applications. I recently finalized my PhD at Ghent University-imec, where I focused on applications for AI such as ease of breathing estimation for COPD and progression prediction for MS, where I designed both machine learning approaches as well as novel explainability techniques.
I am passionate about research and development roles that focus on advancing trustworthy and reliable AI, including interpretability, uncertainty and causality, as well as working towards real utility for AI for medical and other applications. I am happy to hear about new opportunities!
Publications
Kok, T. T., J. Morales, V. Mihajlovic, et al. — IEEE International Conference on Fuzzy Systems (2026)
Presented at IEEE World Congress on Computational Intelligence (2026)
Kok, T. T., J. Morales, D. Deschrijver, et al. — Medical & Biological Engineering & Computing (2025)
Kok, T. T., W. Groenendaal, D. Blanco-Almazan, et al. — IJCAI, 6th International Workshop on Knowledge Discovery in Healthcare Data (2023)
Presented at International Joint Conference on Artificial Intelligence (2023)
Kok, T. T., G. Krempl, H. G. Schnack — Software Impacts, vol. 9 (2021)
Kok, T. T., R. M. Brouwer, R. M. Mandl, H. G. Schnack, G. Krempl — Advances in Intelligent Data Analysis XIX (2021)
Presented at 19th International Symposium on Intelligent Data Analysis (2021)
Under Review
Kok, T. T.*, C. Dekeyser*, L. Burgelman, et al. — BMC Neurology
Kok, T. T., J. Morales, C. Smeets, et al. — BMC Medical Informatics & Decision Making
Kok, T. T., N. Vandemoortele, J. Morales, et al. — Physiological Measurement