Dr. Larry Wasserman

Biography

Larry Wasserman is a UPMC Professor at Carnegie Mellon University in the Department of Statistics and Data Science. His academic pursuits focus on the development and understanding of statistical theories and methodologies that underpin machine learning and data science. Professor Wasserman has been instrumental in advancing statistical machine learning, particularly in the application of statistical methods to the physical sciences through his involvement with the STAtistical Methods Physical Sciences (STAMPS) group. He offers a wealth of knowledge, emphasizing rigorous mathematical foundations while ensuring practical application of his work in real-world scenarios. His contributions are evident not only in his extensive research output but also in the courses he teaches, bringing both theoretical insights and practical skills to his students. He remains actively engaged in numerous collaborative research efforts that intersect across various disciplines, enhancing interdisciplinary approaches to data analysis and interpretation.

Research Interests

Courses