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Ben Collier is an Assistant Teaching Professor in Business Analytics at Carnegie Mellon University's Tepper School of Business. He teaches courses on machine learning, data science, analytics, and visualization, emphasizing the application of modern artificial intelligence methods to real-world business and public policy problems. In addition to his primary appointment at Tepper, he has taught selected courses at Heinz College. He holds a PhD from Carnegie Mellon University’s Tepper School of Business, focusing on Information Systems and Organizational Behavior. His academic work examines how data, algorithms, and organizational structures influence decision-making, collaboration, and performance. With over four years of teaching experience in an international context at CMU's Qatar campus, he also served as Co-Director of Executive Education. Prior to his academic career, Ben held significant industry roles, including Senior Director of Data Science at UPMC, where he led the development of CognitiveRx, an AI-driven platform for drug price forecasting. He also worked as a Staff Data Scientist at Duolingo, focusing on monetization analytics and financial forecasting. Currently, his research interests include machine learning, data mining, data visualization, and the responsible application of AI to complex challenges in business and public policy, with a teaching approach that emphasizes practical, Python-based workflows, ethical decision-making, and preparing students to design and evaluate data-driven systems in high-impact settings.
Carnegie Mellon University • Pittsburgh, United States
Teaching courses in Organizational Behavior.
Carnegie Mellon University • Pittsburgh, USA
Teaching courses in Business Analytics.
Duolingo • United States
Led monetization analytics and financial forecasting efforts.
University of Pittsburgh Medical Center • Pittsburgh, United States
Led the development of an AI-driven drug price forecasting platform.
Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.