- Senior Researcher, Engineering and Management Intelligence Laboratory, Institute for Computer Science and Control (SZTAKI), Hungarian Research Network (HUN-REN)
- Adjunct Professor, Department of Probability Theory and Statistics, Institute of Mathematics, Faculty of Science, Eötvös Loránd University (ELTE)
Education
- Ph.D. in Computer Science, Faculty of Informatics, Eötvös Loránd University, 2008. Thesis: 'Adaptive Resource Control: Machine Learning Approaches to Resource Allocation in Uncertain and Changing Environments'. Supervisor: László Monostori, Budapest University of Technology and Economics (BME)
- M.A. in Philosophy, Faculty of Humanities, Eötvös Loránd University, 2006. Thesis: 'Paradoxes in Rational Collective Decisions' (Philosophy of Science & Social Philosophy). Supervisor: Miklós Rédei, London School of Economics and Political Science (LSE)
- M.Sc. in Mathematics & Computer Science, Faculty of Science, Eötvös Loránd University, 2001. Thesis: 'Approximation with Artificial Neural Networks' (Machine Learning & Wavelet Analysis). Supervisor: Huub ten Eikelder, Eindhoven University of Technology (TU/e)
Background
- Research Interests: Computer Science, Machine Learning (Statistical and Reinforcement Learning), Resource Allocation, Randomized Algorithms
- Fields of Interest: Applied Mathematics, Statistical Inference (Non-Parametric), Probabilistic Models, Stochastic Approximation, Operations Research
- Control Engineering: System Identification (Non-Asymptotic), Stochastic-, Robust- and Adaptive Control, Model Predictive Control
- Analytic Philosophy: Philosophy of Science (Problem of Induction), Interpretations of Probability, Foundations of Mathematics, Logic