Martin T. Wells

Dr. Martin T. Wells is redefining paradigms in the field of statistics and data science as the Charles A. Alexander Professor of Statistical Sciences at Cornell University. With joint appointments across several departments, including biological statistics, computational biology, social statistics, and epidemiology, Dr. Wells brings a multidisciplinary approach to his research and teaching. His expertise is recognized internationally, as evidenced by his fellowship with both the American Statistical Association and the Royal Statistical Society. Dr. Wells' research interests are vast and varied, spanning both applied and theoretical statistics. He delves into the intricacies of applied probability and has made significant contributions to fields such as credit risk, epidemiology, and finance. His work in empirical legal studies and economic damages showcases his ability to apply statistical methodologies to real-world problems, providing insights that are both innovative and impactful. In the realm of finance, Dr. Wells explores empirical finance and financial engineering, employing statistical models to understand and predict market behaviors. His interest in decision theory and Bayesian statistics further underscores his commitment to advancing statistical methodologies that can be applied across diverse domains. Dr. Wells' work in function estimation and graphical models highlights his dedication to pushing the boundaries of statistical theory and practice. Dr. Wells is also deeply involved in the study of epidemiology, where he applies statistical techniques to understand the spread and impact of diseases. His research in this area is crucial for developing strategies to combat public health challenges. Additionally, his work in combinatorics and applied statistics provides a strong foundation for his interdisciplinary research efforts. Through his teaching and mentorship at Cornell University, Dr. Wells inspires the next generation of statisticians and data scientists. His commitment to education and research excellence ensures that his contributions will continue to influence the field for years to come.