I'm currently the Director of Data Science at STATS, where my goal is to maximize the value of the 35 years worth of sports data we have. Previously, I was at Disney Research for 5 years, where he conducted research into automatic sports broadcasting using large amounts of spatiotemporal tracking data. Previous to that, I was a Postdoctoral Researcher at the Robotics Institute at Carnegie Mellon University/Department of Psychology at University of Pittsburgh conducting research on automatic facial expression recognition. I received my BEng(EE) from USQ and my PhD from QUT, Australia in 2003 and 2008 respectively. I was a co-author of the best paper at the 2016 MIT Sloan Sports Analytics Conference and in 2017 was co-author of best-paper runner-up at the same conference. Additionally, I have won best paper awards at INTERSPEECH (2007) and WACV (2014) international conferences. My main research interests are in artificial intelligence and interactive machine learning in sporting domains.
- March 2017: Best Paper Runner-up at MIT SSAC 2017
- March 2017: 2 Papers Accepted in Final of Research Track at MIT SSAC 2017
- March 2017: Speaking at SXSW Panel on "Interactive Sports Analytics"
- February 2017: Keynote at UIUC
- January 2017: Invited Talk at Caltech
- Nylon Calculus: "Progressing toward personalized analytics – A Q&A with Patrick Lucey of STATS" (March 13th, 2017)
- Silicon UK Magazine: "Machine Learning Is The Future Of Sports Data" (March 8th, 2017)
- SI.com: "Eight things we learned from the 2017 MIT Sloan Sports Analytics Conference" (March 8th, 2017)
- Engadget: "AI predicts how athletes will react in certain situations" (March 6th, 2017)
- MITSSAC: "Q&A: Patrick Lucey, 2016 Research Paper Competition Winner" (Oct 19th, 2016)
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