About Me

I am a PhD candidate at the Chair of Responsible Data Science, supervised by Prof. Dr. Gjergji Kasneci. I hold a Master’s degree in Data Science from Ludwig-Maximilians-Universität München and a Bachelor’s degree in Statistics from Delhi University. Before starting my PhD, I conducted research in Explainable AI, focusing on methods for interpreting models in dynamic and evolving data environments. I also have several years of experience working as a Data Scientist in industry.

Research Focus

My research focuses on developing Explainable AI methods for complex and dynamic environments, with an emphasis on non-stationary settings and decentralized systems. This includes designing frameworks that provide transparent, interpretable insights into model behavior in settings with shifting data distributions, both in traditional machine learning systems and in foundation models, where understanding model outputs is increasingly important. In addition to explainability, I am also interested in privacy-preserving machine learning approaches such as Federated Learning, particularly in contexts where data decentralization and user privacy are critical.