Wieland Brendel

Wieland Brendel is an independent Research Fellow at the Max Planck Institute for Intelligent Systems and a Hector-endowed Fellow at the ELLIS Institute Tübingen. Previously, he was a Principal Investigator and Team Lead at the Tübingen AI Center and an Emmy Noether Group Leader for Robust Machine Learning (2020) at the University of Tübingen. His research focuses on robust, generalizable, and interpretable machine vision, integrating insights from computational neuroscience and deep learning.

Education:

• Diploma in Physics, University of Regensburg (2010)
• Ph.D. in Computational Neuroscience, École normale supérieure, Paris (2014)

Research Interests:

His work addresses the safety, efficiency, and trustworthiness of AI systems, with a focus on neural networks and computer vision. He aims to develop models that are not only performant but also explainable and resilient to real-world challenges.

Scientific Awards:

• German Pattern Recognition Award (2023) – for pioneering contributions to robust and interpretable machine vision.

Advising and Grants:

Brendel leads an independent research group and has been awarded the prestigious Emmy Noether Grant (2020) to establish his research team. While the text does not specify direct advisees, his leadership roles involve mentoring researchers in robust machine learning.

Labs and Teams:

He currently leads his research group at the Max Planck Institute for Intelligent Systems. Previously, he was affiliated with the Tübingen AI Center, where he conducted interdisciplinary research at the intersection of machine learning and neuroscience.