Katarzyna Kobalczyk is a PhD candidate in Professor Mihaela van der Schaar’s Machine Learning and Artificial Intelligence research group. Her research focuses on machine learning systems that reason under uncertainty, learn from limited information, and support decision-making in complex settings.

Her work lies at the intersection of large language models, probabilistic machine learning, uncertainty quantification, Bayesian experimental design, Bayesian optimisation, reinforcement learning, and human-AI interaction and alignment. She is interested in how AI systems can recognise uncertainty, learn from language-based or limited feedback, interact effectively with humans and their environment, and use language models as principled components within broader reasoning and decision-making systems.

Katarzyna is a member of Trinity College. Before starting her PhD, she completed Part III of the Mathematical Tripos in Mathematical Statistics at the University of Cambridge. She previously received a BSc in Mathematics and Statistics from the University of Warwick. She has also gained industry research experience in quantitative finance at Citadel and G-Research, and in applied machine learning research at Meta.