Failed to load scholar profile
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Received the Early Career Research Award 2025 from the Association of Constraint Programming and recognized as an ELLIS Scholar by the European machine learning network. Published in leading AI and ML conferences (e.g., AAAI, NeurIPS) and specialized venues (CP, CPAIOR). Invited to scientific events such as Dagstuhl seminars, Lorentz workshops, and a Simons-Berkeley programme. Participated in several algorithmic competitions, scoring first place in incomplete tracks of MaxSAT Evaluation 2018+, ROADEF/EURO 2012. Google OR-Tools adopted some of his ideas.
Research Experience
- Currently an Assistant Professor of Computer Science at TU Delft, leading the Constraint Solving ("ConSol") research group, designing and implementing combinatorial optimization algorithms to solve a wide range of (real-world) problems. Also co-director of the Explainable AI in Transportation lab ("XAIT") as part of the Delft AI Labs.
Education
- Received a PhD from the Vienna University of Technology in 2017; worked as a postdoc at the University of Melbourne (2017-2020); held short-term positions at MCP (Vienna, Austria) and the National Institute of Informatics (Tokyo, Japan).
Background
- Research interests include solving techniques based on constraint programming, dynamic programming approaches for optimizing decision trees, and explainable combinatorial optimization. Also interested in the integration of optimization and machine learning, complexity analysis of robust/resilient notions for combinatorial problems, and industrial applications.
Miscellany
- Enjoys organizing both incoming and outgoing research visits and highly values collaboration with (inter)national researchers.
Co-authors: 0 (list not available)