Tomáš Kliegr
Professor at Faculty of Informatics and Statistics VŠE Prague
Czechia
Summary
👤
Senior🎓
Top SchoolTomáš 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 BusinessDoctor of Philosophy (PhD), Informatics, Doctor of Philosophy (PhD), Informatics at Vysoká škola ekonomická v Praze, Fakulta informatiky a statistikyDoctor 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
English, German
Github Skills (100)
association-rule-mining9
mining9
arules9
traits9
static-files9
orange9
spec8
hierarchical8
rule8
jupyter-notebook8
classification8
jupyter8
entity7
notebook7
ipython7
Programming languages (8)
Github contributions (5)
kliegr/arc
Jul 2016 - Aug 2022
Contributions:3 releases, 72 commits, 51 pushes in 6 years 1 month
kliegr/arcBench
Mar 2017 - Jan 2023
Contributions:5 releases, 105 commits, 88 pushes in 5 years 10 months
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