Instructor Biography

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Paul Bradley

Chief Data Scientist
Waystar Revenue Cycle Technology


Paul leads the research and development of predictive modeling technologies in revenue cycle solutions at Waystar. He is responsible for driving the predictive analytics platform to improve the business and process of healthcare.  In Charge Integrity, this technology helps our clients achieve ROI multiples of 4 to 10.
 
Paul brings 19 years of research experience to Waystar focusing on classification and clustering algorithms, underlying mathematical problem formulations, issues related to scalability and their application to healthcare problems.
 
Before assuming his current role at the company, Paul was a co-founder and Chief Data Scientist at MethodCare, now a part of Waystar, which utilized predictive modeling and analytics over large data sets in patient access, charge integrity and reimbursement solutions. Prior to MethodCare, Paul consulted on data mining algorithm integration with Microsoft Research and SQL Server, and led data analysis solution implementations for a number of Microsoft divisions. 
 
Earlier, Paul was a researcher at Microsoft Research, where he helped develop new data mining algorithms and components that shipped with Microsoft’s flagship database products SQL and Commerce Server.
 
Paul earned his PhD and MS degrees in Computer Science and a BS in Mathematics from the University of Wisconsin.