Natalia Maślany

Natalia is a Ph.D. candidate in Mathematics at Jagiellonian University and a Machine Learning Engineer at Aptiv. She specializes in Generative AI, with a focus on multi-agent Retrieval-Augmented Generation (RAG) systems and synthetic data generation for Advanced Driver-Assistance Systems (ADAS), including customized dashcam footage.

Her academic work includes 3 mathematics papers published in top journals—2 of them sole-authored. She has presented at 6 international conferences and participated in 12 in total. In industry, she co-authored a paper accepted at a CVPR 2025 workshop.

In 2024, Natalia was named Best Young Mathematician at Jagiellonian University. She is currently contributing to the NCBR-funded ADASENSE project and previously conducted three years of research at the Czech Academy of Sciences.