معرفی
Botond Tibor Szabo is an Associate Professor at Bocconi University's Department of Decision Sciences and a Fellow of the Bocconi Institute for Data Science and Analytics (BIDSA). His academic focus includes teaching Mathematical Statistics, Statistical Theory, and Big Data for Business Analytics. His research bridges theoretical foundations with practical applications in healthcare technology.
Dr. Szabo's primary research explores Bayesian high-dimensional methods, nonparametric statistics, and scalable machine learning techniques. He also engages in applied projects such as developing early detection systems for Alzheimer's disease, demonstrating a commitment to translational research.
His work consistently integrates advanced computational methods with statistical theory to address complex data challenges in both industrial and biomedical contexts.
