1. CausalPlayground: A new Python library for causal research, accepted at the Causal and Object-Centric Representations for Robotics workshop at CVPR 2024.
2. Paper 'Causality-Aware Shapley Values for Global XAI' accepted at World XAI Conference.
3. Paper 'CORE: Towards Scalable and Efficient Causal Discovery with Reinforcement Learning' accepted at AAMAS 2024.
Research Experience
PhD candidate at Vrije Universiteit Amsterdam, focusing on Artificial Intelligence. Supervised by Erman Acar, Aske Plaat, and Frank van Harmelen. Part of the Hybrid Intelligence Center, working on creating artificial systems more adaptive to human partners.
Education
Bachelor's degree (BSc) in Cognitive Science from the University of Tübingen; Master's degree (MSc) in Artificial Intelligence from Vrije Universiteit Amsterdam.
Background
Research interests: causal discovery and inference, particularly methods that use amortized learning and reinforcement learning. Professional fields: Artificial Intelligence, Computer Science, and Cognitive Science.
Miscellany
Personal interests: Passionate about causal discovery and inference, enjoys connecting and delving into these topics with like-minded individuals.