Dilyara Bareeva

Hi, I am Dilya 👋 I am a PhD candidate in Interpretable AI at the Fraunhofer Heinrich Hertz Institute, supervised by Sebastian Lapuschkin and Wojciech Samek. My research focuses on developing methods for understanding and improving the decision-making of deep learning models. Additionally, I am interested in evaluating the faithfulness and adversarial robustness of established interpretability methods.

I began my research journey in the field of Explainability at the Understandable Machine Intelligence Lab. Prior to this, I worked as a data scientist at EY, where I developed AI-based tools for automating financial processes. I hold a Bachelor’s degree in Computer Science from the Technical University of Berlin, a Bachelor’s degree in Economics from MGIMO, and a Master’s degree in Economics and Management Science from Humboldt University of Berlin.