Katarzyna Kobalczyk

I’m a PhD candidate in Professor Mihaela van der Schaar’s Machine Learning and AI Lab at the University of Cambridge. I work on AI systems that can reason under uncertainty, learn from limited data, and interact with the world in ways that are useful, reliable, and aligned with human goals.

My research brings together large language models (LLMs), probabilistic machine learning, uncertainty quantification, Bayesian experimental design, and AI safety-related topics. I’m especially interested in how LLM-powered systems can become better decision-makers — systems that know when they are uncertain, learn efficiently from feedback, and improve high-stake decision making.

Before starting my PhD, I completed Part III of the Mathematical Tripos at Cambridge, Trinity College. Before that, I studied Mathematics and Statistics at the University of Warwick.

Outside academia, I’ve gained industry research experience through quantitative research internships at G-Research and Citadel, and an ML research internship at Meta.