Probability Theory: Foundation for Data Science

Dr. Dougherty has held the position of J.R. Woodhull/Logicon Teaching Professor of Applied Mathematics since July 2012. In addition to her teaching responsibilities, she serves as the Associate Chair for Applied Mathematics and is a faculty advisor for applied math majors and minors, as well as statistics minors. Dr. Dougherty also represents the CU campus for the Goldwater Scholarship and advises students participating in the international Mathematics Contest in Modeling.

Jem Corcoran is an Associate Professor in the Department of Applied Mathematics at the University of Colorado Boulder, where he specializes in probability theory and statistical inference. He holds a Ph.D. in Applied Mathematics from Colorado State University and has been instrumental in developing courses that bridge theoretical concepts with practical applications in data science. His teaching includes "Probability Theory: Foundation for Data Science," "Statistical Inference and Hypothesis Testing in Data Science Applications," and "Statistical Inference for Estimation in Data Science."Dr. Corcoran's research focuses on advanced statistical methods and their applications, particularly in the context of data analysis and modeling. He has contributed significantly to the field through numerous publications and is recognized for his expertise in applied probability and Monte Carlo methods. As a dedicated educator, he aims to enhance student understanding of complex statistical concepts, preparing them for successful careers in data science and related fields. Through his work, Jem Corcoran continues to influence the next generation of mathematicians and data scientists at CU Boulder.