- Publications: Multiple papers published in conferences such as NeurIPS, ICML, etc.
- Awards: Dilyara Bareeva awarded the Rolf Niedermeier Prize 2024 for her outstanding thesis, which he supervised
- Projects: Involved in various research projects, including 'CoSy: Evaluating Textual Explanations of Neurons' and 'Manipulating Feature Visualizations with Gradient Slingshots'
Research Experience
- Current Position: Postdoctoral Machine Learning Researcher at TUM's Explainable Machine Learning group
- Supervisor: Prof. Zeynep Akata
- Previous Position: Ph.D. student at TU Berlin
Education
- Ph.D. in Computer Science (summa cum laude), TU Berlin, Supervisors: Prof. Marina Höhne and Prof. Klaus-Robert Müller, Thesis: 'Explaining representations in Deep Neural Networks'
- M.Sc. in Data Science and Engineering (cum laude), TU Berlin and TU Eindhoven
- B.Sc. in Applied Mathematics and Computer Science, Saint Petersburg State University
Background
- Research Interests: Explainable AI, Mechanistic Interpretability
- Professional Field: Computer Vision and Natural Language Processing
- Brief Introduction: Postdoctoral researcher at TUM and Helmholtz Munich, focusing on developing principled methods to better understand and improve deep neural networks.
Miscellany
- Personal Interests: Sailing
- Other: Active in the academic community, frequently invited to give talks, and serves as a reviewer for multiple conferences and journals