I develop machine learning methods to ensure AI systems remain reliable under real-world variability, distribution shifts, and uncertainty. My research spans from theoretical foundations—such as density ratio estimation, parameter tuning, and adaptation—to applications in robustness evaluation, machine recalibration, optimization, and safety certification. 

In 2024, I joined the institute led by Sepp Hochreiter, where I lead the Robust AI group. Previously, I was a Postdoctoral Researcher at RICAM, Austrian Academy of Sciences (2022–2024), Research Team Lead at SCCH GmbH (2020–2022), and Industrial Researcher at SCCH GmbH (2012–2016). I earned my BSc from TU Graz and both my MSc and PhD from JKU (2020).