About
Leon Shpaner is a data scientist at UCLA Health, where he supports research and quality improvement initiatives through machine learning and data visualization. He has helped translate population health research into production-ready solutions, including building and deploying models to predict healthcare costs for the Medicare Advantage patient population. He is also actively involved in chronic kidney disease (CKD) research, among many interesting current projects in oncology and supportive care patient outcomes. For academic citations, he publishes under his full name, Leonid Shpaner. Leon holds a Bachelor of Arts in Economics from UCLA and a Master of Science in Applied Data Science from the University of San Diego.