Summary
Mingrui Lu is a Senior Lead Scientist and predictive modeling expert with over a decade leading Medicare and Medicaid anti-fraud analytics for CMS, currently driving healthcare integrity work at Booz Allen Hamilton. Trained as an MD with an MPH, she blends clinical insight and advanced statistics to build production-grade ML, hierarchical mixed, social network and anomaly models at scale using Spark, Databricks, Hive, TensorFlow and cloud data platforms. She has a proven track record inventing new fraud-detection methods—integrating PECOS enrollment, investigation, law enforcement, beneficiary complaints and encounter data—to generate rapid leads and expand program capabilities. A hands-on manager and mentor, she guides cross-functional teams through model design, deployment, and stakeholder communication, and has repeatedly supported business development and CMS workshops. Not obvious from titles alone: her background in clinical research and health services modeling has informed payer-facing quality and incentive models that were productized for insurers and providers.
11 years of coding experience
9 years of employment as a software developer
Master Degree in Clinical Medicine, Medicine, Master Degree in Clinical Medicine, Medicine at Shandong University of Traditional Chinese Medicine
Masters of Public Health (MPH), Public Health, Masters of Public Health (MPH), Public Health at University of North Carolina at Chapel Hill