Focus Period halmstad University 2026

Full Professor

Warsaw University of Technology and University of Warsaw (Poland)

Przemysław Biecek, PhD, is a Full Professor in the Faculty of Mathematics, Informatics and Mechanics at the University of Warsaw and Director of the Centre for Credible AI at the Warsaw University of Technology. His research focuses on Model Science—responsible and explainable artificial intelligence—with emphasis on model interpretability, controllability, and verifiability. He has authored or co-authored more than 200 scientific publications, including books and monographs, and has led numerous research and applied projects on interpretable predictive modelling.

He is internationally recognized as one of the top 2% most influential scientists (Stanford ranking) and a laureate of the prestigious Fulbright IMPACT Award. He received the “Frontiers in AI” distinction from Adam Mickiewicz University for his contributions to transparent and socially responsible AI. His work has appeared in leading venues such as Nature Machine Intelligence, NeurIPS, ICML, ECCV, CVPR, and AAAI. He has delivered invited talks at major conferences including ECML and ECAI and has co-organized workshops on explainable and trustworthy AI at NeurIPS, AAAI, ECAI, and ECML-PKDD.

Professor Biecek is the creator and maintainer of widely used open-source packages for model interpretability (e.g. DALEX, auditor) and an active contributor to standardization efforts in credible AI. He has served on program committees of top-tier conferences, advised European institutions on AI safety and ethics, and collaborated with industry partners on deploying interpretable models in high-stakes domains.

Beyond research, he is strongly engaged in education and outreach. He founded the Smarter Poland Foundation and promotes AI literacy through comic books, courses, and science communication. His interdisciplinary work at the interface of statistics and computer science has established him as a leading voice in the global debate on reliable and responsible AI.