Aleksander is a PhD Candidate and a Research & Teaching Assistant at the Warsaw University of Technology’s Faculty of Mathematics and Information Science.
His research focuses on bridging the gap between precise procedural definitions and novel neural models. This work aims to enhance the control, precision, and explainability of model outputs while maintaining their flexibility.
Recently, his focus has expanded to neural signed distance fields (SDFs) to improve the quality of using them for 3D geometry reconstructions.
In his free time, Aleksander enjoys baking sweet pastries and playing indie games.
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