Profile

Professor Katarzyna Stąpor is a mathematician, computer scientist and psychologist. Professor Stąpor works at the Department of Applied Informatics, Faculty of Automatic Control, Electronics and Computer Science at the Silesian University of Technology in Gliwice, Poland, where she teaches statistical methods based on her own textbooks (Introduction to Probabilistic and Statistical Methods with Examples in R, v. 176, Springer, 2020) as well as pattern recognition/machine learning.

She carries out interdisciplinary research, which combines biomedical engineering, computer science, mathematics and psychology. She specializes in statistical modeling for various applications in medicine, molecular biology and psychology. In collaboration with Professor Irena Roterman from the Department of Bioinformatics and Telemedicine, Medical College, Jagiellonian University in Krakow, Professor Stąpor researches biochemical foundations underlying mechanisms of protein folding in neurodegenerative diseases, using a statistical model of hydrophobicity distribution in proteins.

In the field of cognitive neuroscience, she investigates the electrophysiological correlates of brain processes related to face recognition (in collaboration with Professor Werner Sommer from the Department of Psychology at Humboldt-University in Berlin).

She authored numerous publications in international journals, and has written a university textbook on the construction of statistical predictive models (Classification Methods in Computer Vision, PWN, Warsaw 2011, published in Polish).

Professor Stąpor is a member of the Program Committee of a cyclical International Conference on Computer Recognition Systems (CORES), a significant event in the field of statistical machine learning.

At SWPS University she teaches statistics and advanced statistical analysis.