Soccer Analytics with Machine Learning

About the Authors

Haipeng Gao is a data science and machine learning expert with extensive industry experience building and optimizing large-scale machine learning systems at leading technology companies, including LinkedIn, TikTok, and PayPal. He holds a PhD in statistics and operations research from the University of North Carolina at Chapel Hill, has taught statistics and probability at UNC Chapel Hill and San Jose State University, and holds multiple AI/ML patents granted by the U.S. Patent and Trademark Office.

Ari Joury is a data scientist and entrepreneur working at the intersection of machine learning, causal inference, and applied analytics. He is the founder and CEO of Wangari Global, where he builds AI systems for decision support in finance, insurance, and sustainability, with a focus on interpretable models and real-world impact. Trained originally as a theoretical particle physicist, he later transitioned into applied data science and quantitative modeling. Ari holds a PhD in physics and an MBA.

Weining Shen is an associate professor of statistics at the University of California, Irvine. His research focuses on machine learning, Bayesian statistics, sports analytics, and large language models. Dr. Shen has published more than 70 papers in leading statistics journals and at premier machine learning conferences. He earned his PhD in statistics from North Carolina State University.

Guanyu Hu is an associate professor at Michigan State University. His research focuses ...