I’m a PhD student at the Department of Informatics, University of Sussex working on deep reinforcement learning and generative models with Chris Buckley and Anil Seth. I’m focusing on probabilistic approaches to control, such as active inference and control-as-inference, and controllable generative modelling. I spent time at Naver Labs Europe working on energy-based models for controllable language generation and am currently a visiting researcher at NYU working with Ethan Perez and Sam Bowman on aligning language models with human preferences.
Before that, I studied cognitive science, philosophy and physics at the University of Warsaw. While there, I worked on compositionality and communication in multi-agent systems at Human Interactivity and Language Lab with Joanna Rączaszek-Leonardi and at AwareLab with Piotr Miłoś as well as on formal models of self-organisation with Marcin Miłkowski.
Highlighted papers
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Controlling conditional language models without catastrophic forgetting
Accepted for ICML 2022
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Energy-based models for code generation under compilability constraints
NLP4Programming workshop, ACL 2021
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Measuring non-trivial compositionality in emergent communication
Emergent communication workshop, NeurIPS 2020
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Developmentally motivated emergence of compositional communication via template transfer
Emergent communication workshop, NeurIPS 2019