James Chung
About James Chung
James Chung is the Assistant Director of Data Science at Cambia Health Solutions, specializing in fraud detection and predictive modeling. He holds a Master's degree in Medical Physics and a Bachelor's degree in Nuclear Engineering from the University of Wisconsin-Madison.
Current Role at Cambia Health Solutions
James Chung serves as the Assistant Director of Data Science at Cambia Health Solutions, a position he has held since 2021. In this role, he focuses on fraud detection and predictive modeling, aiming to enhance data quality and assessment. His responsibilities include leading cross-functional teams that consist of data scientists, domain experts, developers, and business consumers to drive data-driven decision-making within the organization.
Previous Positions at Cambia Health Solutions
James Chung has held multiple positions at Cambia Health Solutions prior to his current role. He worked as a Clinical Analytics Manager from 2015 to 2017, overseeing clinical data analysis initiatives. Before that, he served as a Senior Consulting Research Analyst from 2012 to 2015, where he contributed to research and analytics projects. Additionally, he was the Manager of Advanced Analytics from 2017 to 2021, further developing his expertise in data science and analytics.
Education and Expertise
James Chung earned a Master of Science in Medical Physics from the University of Wisconsin-Madison, where he studied from 1996 to 1998. He also holds a Bachelor of Science in Nuclear Engineering from the same institution, completed from 1994 to 1996. His educational background supports his specialization in fraud detection and predictive modeling, as well as his skills in unsupervised learning and textual data analysis.
Professional Experience Prior to Cambia Health Solutions
Before joining Cambia Health Solutions, James Chung worked at Pacific Northwest National Laboratory as a Scientist from 2006 to 2011, focusing on research and data analysis. He also gained experience as an Analytical Consultant at SAS from 2000 to 2006, where he developed analytical solutions for various clients. This diverse experience has contributed to his strong foundation in data science and analytics.