Patrick Lucey is currently the Chief Scientist at sports data giant Stats Perform, leading the AI team with the goal of maximizing the value of the company’s extensive sports data. He has studied and worked in the fields of machine learning and computer vision for the past 25 years, holding research positions at Disney Research and the Robotics Institute at Carnegie Mellon University, as well as spending time at IBM’s T.J. Watson Research Center while pursuing his Ph.D. Patrick originally hails from Australia, where he received his BEng(EE) from the University of Southern Queensland and his doctorate from Queensland University of Technology, which focused on multimodal speech modeling. He has authored more than 100 peer-reviewed papers and has been a co-author on papers in the MIT Sloan Sports Analytics Conference Best Research Paper Track for 11 of the last 14 years, winning best paper in 2016 and runner-up in 2017 and 2018. Additionally, he has won best paper awards at INTERSPEECH and WACV international conferences. He was part of the International Olympic Committee AI Agenda launch in 2024, and in 2025 spoke at the UN’s “AI for Good” conference. His main research interests are in artificial intelligence and interactive machine learning in sporting domains, as well as AI education. He has created the ”AI in Sport” course which he teaches around the globe, which aims to give students intuition behind AI methods using the interactive and visual nature of sports data.
Patrick Lucey
