Łukasz Kuciński is an Assistant Professor at the Institute of Mathematics of the PAS, a Senior Research Scientist at IDEAS NCBR, and a Member of the ELLIS Society. His ambition is to design and implement AI agents that can learn to solve problems autonomously in a self-improvement manner. His research is published at CORE A* conferences, such as NeurIPS and ICLR, and covers machine learning and sequential decision-making topics, including reinforcement learning, planning, game theory, automated theorem proving, or alignment of large language models. Prior to his current roles, he worked at PFSA as Vice-Director, where he led a risk modeling team. He obtained a master’s degree from the Faculty of Mathematics, Informatics, and Mechanics of the University of Warsaw and a Ph.D. in mathematics from the Polish Academy of Sciences.
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