CV

Experience

Senior Lecturer in Artificial IntelligenceNov 2024 – present

Institute for Machine Learning, Johannes Kepler University Linz

Research on contrastive and preference learning, and on symbolic and LLM-based reasoning.
Teaching Python programming, machine learning, and hands-on AI courses.
BSc and MSc thesis supervision in AI and game AI.

University Assistant2020 – Nov 2024

Johannes Kepler University Linz

Research on contrastive learning and Siamese neural networks for game AI.
Taught Programming in Python, Introduction to Programming, and Algorithms and Data Structures.
Supervised theses on evolutionary algorithms for CCGs, game agents for Reconnaissance Blind Chess, and LLMs for acronym disambiguation.

Freelance translator, German–English2018 – 2020

IT helpdesk, steep GmbH2017 – 2018

Education

PhD, Artificial Intelligence2020 – 2024

Johannes Kepler University Linz

Thesis: Contrastive Learning for Imperfect-Information Games, supervised by Prof. Johannes Fürnkranz.
Comparison-based machine learning for Magic: The Gathering, Reconnaissance Blind Chess, and poker.

MSc, Advanced Computer Science2019 – 2020

University of Birmingham, UK — completed with distinction

Thesis: GAN-SAC: Sample-Efficient Soft Actor-Critic Using GAN-Created Model-Rollouts, supervised by Prof. Per Kristian Lehre.

BSc, Informatics2015 – 2018

University of Bonn, Germany

Thesis: Divisive Hierarchical Clustering with Reverse Wards, supervised by Dr. Heiko Röglin.

Awards

Service and skills

Reviewing (conferences): ICLR 2027, AAAI 2026, AIIDE 2026, IEEE CoG 2021–2026, ECAI 2025, IJCAI 2025, FDG 2025, ECML-PKDD 2025, KI 2022 & 2024, ICML 2022
Reviewing (journals): IEEE Transactions on Games, IEEE Transactions on Affective Computing
Skills: Python, PyTorch, Java, supervised and unsupervised learning, reinforcement learning, contrastive learning, tree search, LLM fine-tuning
Interests: Badminton, powerlifting, Magic: The Gathering, board and card games