Adam Waterbury

Adam Waterbury is an Assistant Professor of Statistics in the Department of Mathematics at Denison University. Previously, he served as a Visiting Assistant Professor and CFMAR Research Fellow in the Department of Statistics and Applied Probability at the University of California, Santa Barbara. He holds a PhD from the University of North Carolina at Chapel Hill, where he studied under Professors Amarjit Budhiraja and Nicolas Fraiman in the Department of Statistics and Operations Research.

His research focuses on machine learning methods for time series, reinforced processes, stochastic approximation algorithms, large deviations, and random graph models. He teaches courses in statistics, probability, and data analytics, emphasizing practical applications in these fields.

No specific scientific awards, grants, or advised students are listed in the provided information. His work bridges theoretical foundations and applied data science, reflecting his interdisciplinary training and academic background.