Agata Przybyś-Małaczek is a scientist in the field of artificial intelligence, currently undertaking her doctoral research at the Warsaw University of Life Sciences, Institute of Information Technology, in the Department of Artificial Intelligence. She specializes in artificial intelligence methodologies, including machine learning and deep learning. Additionally, she has a keen interest in the practical application of rigorous mathematical and statistical principles in AI algorithms, which has guided her academic pursuits and professional achievements. Moreover, Agata is recognized as an expert in risk modeling and model validation, a specialization she honed during her extensive career in banking institutions, specifically within the Credit Risk Modelling and Validation Department. She assumed key roles in the creation of credit risk models, utilizing established statistical methods in conjunction with machine learning and data mining models. Agata completed her initial higher education at the Warsaw University of Technology, Faculty of Mathematics and Computer Science, where she was awarded a Master's degree in Mathematics in Finance and Insurance. Following her Master's, she pursued doctoral studies at the College of Management and Finance at the Warsaw School of Economics. Her academic journey now is continuing at the Warsaw University of Life Sciences where she is deeply invested in the field of artificial intelligence, augmenting her expertise and making significant