Conrad Tucker

Conrad Tucker is a Trustee Professor in the Department of Mechanical Engineering at Carnegie Mellon University. His research focuses on the design and optimization of systems through the acquisition, integration, and mining of large-scale, disparate data. Tucker holds courtesy faculty appointments in machine learning, robotics, and biomedical engineering. He has served as PI/Co-PI on federally and non-federally funded grants from various agencies, including the National Science Foundation and the Defense Advanced Research Projects Agency. Tucker also served as director of Carnegie Mellon University Africa in an interim capacity from August 2023 through December 2025.

Conrad S.Tucker is a Trustee Professor of Mechanical Engineering & Machine Learning at Carnegie Mellon University, with research interests spanning Machine Learning, Computational Design, Digital Health, and Graphical Modeling. His work explores the application of machine learning techniques to discover health-related knowledge, analyze social media data, and enhance product design through generative adversarial networks and physics-based validation. He also investigates the impact of gamification and immersive virtual reality on learning and task performance. His research emphasizes the integration of machine learning with engineering and health domains to address real-world challenges.