Our Team
CU-CHAI Leadership
Nathan J. McNeese, Ph.D., Director
Nathan J. McNeese is the founding Director of the Clemson University Center for Human-AI Interaction, Collaboration, and Teaming (CU-CHAI). A distinguished researcher in human-AI interaction and teamwork, Dr. McNeese has spent over a decade at the intersection of human factors, cognitive science, and artificial intelligence. Under his leadership, CU-CHAI has rapidly become a world leader in the research and development of collaborative AI technologies that enhance human decision-making and teamwork.
Dr. McNeese’s work has been widely recognized for its impact on both the academic community and industry, earning numerous federal grants and awards for his contributions to the effective use and design of AI alongside humans. His research contributions have led to over $39 million in total research funding at Clemson University, over 30 research grants or gifts, and over 175 publications exploring human-AI interaction, collaboration, and teaming.
Christopher Flathmann, Ph.D., Co-Director
Christopher Flathmann serves as the Co-Director of the Clemson University Center for Human-AI Interaction, Collaboration, and Teaming (CU-CHAI). With a multi-year background in AI research and a deep understanding of domain-specific implementations of AI technologies, Flathmann brings a blend of technical expertise and practical insight to the center. He is known for his work in developing innovative AI systems that address real-world problems that will likely prevent or hinder the adoption and integration of AI into the real world.
As Co-Director, Flathmann plays a crucial role in fostering interdisciplinary collaboration, mentoring emerging researchers, and ensuring that CU-CHAI remains at the forefront of AI innovation. His goals in advancing AI responsibly and ethically complement the center’s mission to integrate AI in ways that are both impactful and socially beneficial. Co-Director Flathmann’s research contributions have led to over 40 publications in human-AI teaming and over $4 million in research funding across multiple DoD and NSF funding programs.
