Michael Horton is an accomplished AI Scientist at Stats Perform since February 2022, with prior experience as an AI Researcher at DOT loves data and as a Data Scientist/Machine Learning Researcher at Sportlogiq, where insights generated were utilized by professional sports teams and broadcasters. Michael has a strong academic background, earning a Ph.D. in Computer Science from the University of Sydney, where research was conducted under the supervision of Prof. Joachim Gudmundsson. Previous roles include visiting scholar at NYU Tandon School of Engineering, data warehouse developer at ASX, and senior consultant at Analytics8. Additionally, Michael served as a Change Analyst at RBS Global Banking & Markets and held positions at Royal Bank of Scotland and Business Objects, where significant contributions were made to data architecture and business intelligence projects.
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