Author Biographies

Zofia Rudnicka achieved her Bachelor's degree in Biology, focusing on the interaction of new therapeutics with conventional antibiotics, from the University of Warsaw. She continued her academic pursuit with a Master’s degree in Biology, concentrating on the genetics of biofilm formation, at the same institution. Further advancing her expertise, Rudnicka obtained a Master's degree in Applications of Physics in Biology and Medicine from the Faculty of Physics, University of Warsaw, where her thesis was an extensive analysis of biomarkers and genotypes in renal failure patients, showcasing her interest in molecular modeling and bioinformatics. Enhancing her interdisciplinary skills, Rudnicka completed a postgraduate program in Data Science, specializing in Algorithms, Tools, and Applications for Big Data Problems at the Faculty of Electronics and Information Technology, Warsaw University of Technology. This education enhanced her engagement in complex data analysis, with a particular focus on biological research applications. Presently, Rudnicka's professional and scientific interests are centered around the integration of biology, data science, and bioinformatics, reflecting her commitment to advancing interdisciplinary studies in these areas.
Klaudia Proniewska is an Assistant Professor at the Department of Bioinformatics and Telemedicine, Faculty of Medicine, and the Deputy Director of the Center for Digital Medicine and Robotics, Jagiellonian University Collegium Medicum. She received her MSc from the Faculty of Physics and Applied Computer Science, AGH University of Science and Technology in Kraków in 2009, and earned her Ph.D. from the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering of the same university in 2014. She is also a member of the Polish Society of Cardiology. Her scientific interests include biomedical engineering, in particular biomedical signal processing, coronary and cardiac imaging, and telemedicine solutions dedicated to the prevention of chronic diseases.
Mark Perkins is an Educationalist and entrepreneur. Through his company MPL, he provides and organises academic and business training, including lectures and teacher training. Perkins also is an ethical philosopher working with the Institute of Fundamental Research, the Polish Academy of Sciences, and the Jagiellonian University Medical College. He collaborates as an author in publications, contributor to grant applications, and lecturer. Perkins is the AI in Management Programme Director at Collegium Prometricum, Poland. His tech company Repindex has over 14,400 feeds with an archive of 32.7bn articles and 36.6bn words, accumulated from 2010 to 2022. This is currently under review for AI applications. Academically, he has published in applied linguistics, education, and ethics, and he retains a keen interest in Classics, the Nordic languages, and music.
Agnieszka Pregowska received the M.Sc., Eng. degree (2008) for the application of dynamical systems methods in mechanics and machine design from the Faculty of Mechatronics, Warsaw University of Technology, and the Ph.D. (2013) for developing control and optimization methods for the study of mechanical systems dynamics from the Polish Academy of Sciences. Currently, she is an Assistant Professor at the Institute of Fundamental Technological Research Polish Academy of Sciences in Warsaw, DSc (Habilitation) (2023) at the Institute of Fundamental Technological Research, Polish Academy of Sciences, Warsaw in discipline: Information and Communication Technology (in the field of Neuroinformatics). Her scientific interests focus on the application of Information Theory and Computational Methods in Neuroinformatics and biomedical signals processing and classification. In her scientific work, she focuses in particular on the analysis and development of neural network learning algorithms. She is also involved in the applications of Extended Reality in medicine, and medical education, especially in dentistry.
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