CV

Tenure-track Assistant Professor

University of Southern Denmark, Department of Mathematics and Computer Science, Data Science Section

Co-director

Danish Pioneer Centre for AI Programme on Learning and Optimal Control in Dynamical Systems

Co-organizer

ICLR Workshop: Multi-Agent Learning and Its Opportunities in the Era of Generative AI

Teaching Staff and Co-organizer

Spring School on Reinforcement Learning and Control, CWI

Ran tutorials on reinforcement learning for an interdisciplinary group of students, plus organizational duties.

Co-organizer

AAAI Bridge Workshop: Collaborative AI and Modelling of Humans

Co-organized both editions of this workshop at the AAAI Conference on Artificial Intelligence; the 2024 edition reached 300 registrations.

Postdoctoral Researcher

Delft University of Technology

Project on investigating advanced multi-agent reinforcement learning techniques for collaborative AI systems, funded for 3 years as part of the Dutch Hybrid Intelligence Centre.

Co-leader

Hybrid Intelligence Centre Reinforcement Learning SIG

Invited Tutorial Speaker

ELLIS Summer School on Collaborative and Generative AI

Invited Lecturer

SIKS Course on RL for Adaptive Hybrid Intelligence

Invited lecture on reinforcement learning for ad-hoc cooperation, part of a PhD course in the Netherlands Research School for Information and Knowledge Systems.

PhD Research Intern

Dutch National Research Institute for Mathematics and Computer Science (CWI)

Highly selective doctoral internship programme with stipend. Worked with Professor Wouter Koolen on the sample-complexity of Monte Carlo Tree Search.

Co-organizer and Instructor

CS-E4070 - Probabilistic Modelling for Cognition and Interaction, Aalto University

Designed and implemented a Master’s and PhD level special topic course together with Dr. Tomi Peltola.

PhD

Aalto University

Computer Science

• Thesis: Model-based Multi-agent Reinforcement Learning for AI Assistants
• Advisor: Professor Samuel Kaski
• Opponent: Professor Matthew A. Taylor (University of Alberta)
• Nominated for the Dean’s Award

MSc

Aalto University

Machine Learning, Data Science and Artificial Intelligence (MACADAMIA)

• Completed with honours (highest distinction)

BEng

Selçuk University

Computer Engineering

• First-class honours (highest distinction)

Distributional Active Inference

Forty-third International Conference on Machine Learning (ICML)

On the Complexity of Learning to Cooperate with Populations of Socially Rational Agents

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Value Improved Actor Critic Algorithms

Advances in Neural Information Processing Systems (NeurIPS)

Uncoupled Learning of Differential Stackelberg Equilibria with Commitments

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Best-Response Bayesian Reinforcement Learning with Bayes-adaptive POMDPs for Centaurs

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS)

Model-based Multi-agent Reinforcement Learning for AI Assistants

PhD thesis, Aalto University