Professor at Faculty of Informatics and Statistics VŠE Prague
Czechia
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Summary
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Senior
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Top School
Tomáš Kliegr is a Professor and program director at the Faculty of Informatics and Statistics, VŠE Prague, with over a decade of experience shaping curricula and research in AI, data science, and human-centered machine learning. He leads both bachelor and master's programs that integrate software engineering, UX/psychology, and AI ethics to train engineers who build interpretable and societally aware systems. His research focuses on interpretable ML, rule models, knowledge graphs and LLM-based feature generation, and he develops practical tools such as R packages and long-running MLaaS projects like EasyMiner and Entityclassifier. Known for bridging rigorous research with applied education, he actively mentors students on industry collaborations and deployable, explainable AI solutions. An interdisciplinary thinker, he combines technical depth with psychology-informed approaches to make AI both transparent and useful in real-world settings.
11 years of coding experience
18 years of employment as a software developer
Master, Knowledge Technology, Master, Knowledge Technology at Prague University of Economics and Business
Doctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Vysoká škola ekonomická v Praze, Fakulta informatiky a statistiky
Doctor of Philosophy - PhD, School of Computer Science and Electronic Engineering, Doctor of Philosophy - PhD, School of Computer Science and Electronic Engineering at Queen Mary University of London
Contributions:2 releases, 96 commits, 79 pushes in 5 years 11 months
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