Gerald S. Brown

Dr. Gerald S. Brown serves as Part-time Senior Lecturer at the Gordon Institute of Tufts University, where he specializes in process improvement and supply chain management. His professional experience includes positions at IBM-France and Andersen Consulting, bringing practical industry expertise to his academic role. At Tufts, he teaches courses focusing on data analytics, process improvement methodologies, and supply chain optimization. His teaching approach combines theoretical foundations with practical applications, as demonstrated in his Coursera course "Hypothesis Testing with Python and Excel," which has enrolled over 3,000 students. The course reflects his expertise in applying statistical methods to business problems, teaching fundamental concepts of hypothesis testing using both Excel and Python. His work emphasizes the importance of data-driven decision-making in modern business environments, particularly in supply chain management and process optimization contexts.