Shai Ben-David is a Professor at the School of Computer Science, University of Waterloo, Canada. Originally from Jerusalem, Israel, he earned his PhD in set theory and has since made significant contributions to the foundations of computer science, with a particular focus on statistical and computational machine learning. Throughout his career, Professor Ben-David has tackled complex problems in the field, emphasizing the need for mathematical rigor in popular machine learning and data mining paradigms. His research spans various areas, including the theoretical foundations of clustering, domain adaptation, computational complexity, and the utilization of unlabeled data in classification tasks. His work continues to shape the understanding of core computer science principles and their practical applications.