Krzysztof Olejniczak
Interests
My research focuses on neural theorem proving, specifically the autonomous generation of formal proofs in systems such as Lean, and enhancing the formal mathematical reasoning capabilities of AI models. More broadly, I am interested in neuro-symbolic approaches to reasoning and alternative representations for mathematical proof structures.
I also have a background in GNNs and graph representation learning, particularly in the context of reasoning over knowledge graphs.