Sebastian Niklas Wette

I am Sebastian, a Master’s student in Artificial Intelligence and Machine Learning at TU Darmstadt and a scholarship holder at the Zuse School ELIZA. Alongside my studies, I work as a student assistant at Merck in Darmstadt, focusing on AI-related applications. I earned my Bachelor’s degree from Hochschule Darmstadt as part of a dual study program in cooperation with Deutsche Telekom, where I also worked as a software engineer before transitioning to Merck. My research interests lie in continuous machine learning and reinforcement learning. Currently, I’m involved in the JAXAtari Project at the AIML Lab, where I explore object-centric environments and JAX-based RL frameworks. One of my most impactful contributions so far is the paper OML-AD: Online Machine Learning for Anomaly Detection in Time Series Data, which was presented at OL2A 2025. The work proposes an adaptive approach to anomaly detection in streaming data scenarios.