Joshua Wendland

About Me

I am a PhD candidate at Ruhr University Bochum supervised by Nils Jansen at the chair of Artificial Intelligence and Formal Methods.

My research focusses on reinforcement learning and planning settings, especially in combination with the theory of missing data and causality. My work aims to improve trustworthiness in AI, meaning that I aim for formal guarantees and improved explainability.

I also co-organize the AI Lecture Series @ RUB.

Interests

• AI/Machine Learning: Reinforcement Learning, Planning, Causality, Explainability, Alignment Problem
• Data Visualization: Presenting information visually is just so much better than in text or tabular form. See my projects page.

News

• [Sep 2025] Presented our current work on missingness-MDPs as a poster @ EWRL 2025.
• [Mar 2025] Co-initiated the AI Lecture Series @ Ruhr University Bochum.
• [Aug 2024] Attended the ELLIS Doctoral Symposium in Paris.
• May 20240 Started my PhD under Nils Jansen @ Ruhr University Bochum.
• [Apr 2024] Completed the AI Safety Camp 2024 (AISC9) with the Delphi project - evaluating small language models. [Video🎬] [Code👨🏽‍💻].

Publications