Academic interests
My scientific interests revolve around interdisciplinarity, particularly at the crossroads of physics and computer science, as well as biology and AI. I believe that drawing inspiration from different fields is the key to a full understanding of the world we live in.
My current research focuses on applying brain-inspired mechanisms to the continual deep learning scenario, in which an AI agent needs to adapt to a stream of tasks or environments, without forgetting its previous knowledge. This dynamic field holds potential applications in various domains, including robotics and privacy-sensitive data science.
Background
2022 - now: PhD candidate at the Faculty of Mathematics and Natural Sciences, University of Oslo, Norway
Affiliated as a CompSci student, working on the project: Bio-inspired methods for continual learning in deep neural networks
Supervisors: Associate Professor Kai Olav Ellefsen, Dr. Mikkel Elle Lepperød, Professor Marianne Fyhn
2021 - 2022: Incomplete M.Sc in Computer Science and Engineering, study line Artificial Intelligence and Algorithms, Technical University of Denmark, Denmark
2020 - 2022: M.Sc in Applied Physics, specialization Nuclear Physics and Technology, Faculty of Physics, Warsaw University of Technology, Poland
2016 - 2020: B.Sc in Applied Physics, specialization Computer Physics, Faculty of Physics, Warsaw University of Technology, Poland