Developing statistical and machine-learning models for professional box lacrosse Dr. Robbie Jimerson Jr. (Seneca Nation, Bear Clan)

Developing statistical and machine-learning models for professional box lacrosse w/ Dr. Robbie Jimerson Jr. (Seneca Nation, Bear Clan) is a Seneca speaker, AI researcher, cybersecurity professional, Indigenous language activist, and lifelong computer nerd whose research sits at the intersection of technology, language, and data. He holds a PhD in Computing and Information Sciences from Rochester Institute of Technology, where his research focused on artificial intelligence, machine learning, deep learning, and low-resource AI. He has also been accepted into the University of Pennsylvania’s Master of Science in Engineering in Artificial Intelligence program.

His work spans artificial intelligence, cybersecurity, Indigenous language technology, and applied analytics. Most recently, his novel research has focused on developing statistical and machine-learning models for professional box lacrosse, including expected goals, expected assists, player efficiency, and offensive impact metrics.

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