Skip to main content
Porträt Zeynep Akata
Helmholtz Munich | Zeynep Akata

Zeynep Akata

Director Institute of Explainable Machine Learning

Research Focus

Our goal is to contribute to the sustainability and trustworthiness of AI-based solutions by designing and implementing vigilant AI systems with improved transparency such that they are more accountable and in accordance with the GDPR. We do fundamental research in machine learning, computer vision and natural language processing. We use a methodological mix of explainable, multi-modal, and low-shot learning in the context of computer vision to tackle several societal problems and provide machine learning solutions to them.

Y Xian, CH Lampert, B Schiele, Z Akata. 2019. Zero-shot learning comprehensive evaluation of the good, the bad, and the ugly. IEEE TPAMI 

L Salewski, S Alaniz, I Rio-Torto, E Schulz, Z Akata. 2023. In- Context Impersonation Reveals Large Language Models' Strenghts and Biases. NeurIPS 

K Roth, L Thede, AS Koepke, O Vinyals, O Hénaff, Z Akata. 2024. Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model. ICLR 


Skills & Expertise

Computer VisionMachine LearningVision and LanguageZero - Shot Learning 

Professional Background

2024 - Present

Director of Institute for Explainable Machine Learning, Professor of Computer Science at Technical University of Munich


Professor of Computer Science at University of Tübingen


Senior Researcher at Max Planck Institute for Intelligent Systems

2017 - 2019

Tenure Track Assistant Professor at Universiy of Amsterdam, Scientific Director of UvA-Bosch Delta Lab


Senior Group Leader at Mx Planck Institute for Informatics


Postdoc at UC Berkeley


Postdoc at Max Planck Institute for Informatics


Research Scientist at Xerox Research Center Europe and PhD student at INRIA Rhone Alpes

Honors and Awards

  • 2014 - Lise Meitner Award for Excellent Women in Computer Science

  • 2018 - ELLIS Fellowship

  • 2019 - ERC Starting Grant

  • 2021 - German Pattern Recognition Award

  • 2022 - ECVA Young Researcher Award

  • 2023 - Alfried Krupp Award

Gold Star Awards Luxury Background
suppa -