Urszula Markowska-Kaczmar

Urszula Markowska-Kaczmar is a computer scientist and researcher specializing in computational intelligence, neural networks, and deep learning, with a particular focus on their applications in medicine. Her academic career has been closely associated with Wrocław University of Science and Technology, where she worked as a professor in the Department of Artificial Intelligence.

She graduated from the Faculty of Electronics at Wrocław University of Technology, where she also received her PhD. In 2008, she obtained her DSc (habilitation) from the Systems Research Institute of the Polish Academy of Sciences in Warsaw. From 1999 to 2001, she served as Vice-Dean of the Faculty of Computer Science and Management at Wrocław University of Science and Technology. For ten years, she led the medical.ml student research group, supporting young researchers in exploring machine learning and its applications.

Her research interests include neural networks, knowledge extraction from neural models, and deep learning methods for challenging real-world problems, particularly in medicine. Her recent research focuses on deep learning for medical image analysis, including megakaryocyte segmentation, active learning, and representation learning for flow cytometry data classification. These research directions reflect her broader interest in developing effective machine learning methods for complex medical data.

She has authored or co-authored approximately 160 scientific publications on neural networks, deep learning applications, computational intelligence, and artificial life.

In recognition of her contributions to the field, she was named one of the TOP 100 Women in AI in 2022 by Perspektywy Women in Tech. In 2024 and 2025, she served as an editor for Scientific Reports. She has also contributed to the international research community through participation in scientific committees and reviewing for leading journals in machine learning, pattern recognition, and neural networks.