Yanzhi Meng
Senior Data Scientist @UnitedHealth Group
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WORK HISTORY
Senior Data Scientist @UnitedHealth Group
Irvine, CA, US
Lead data scientist for core healthcare line of business, managing full ML lifecycle from stakeholder requirements through production deployment. Drive AI/LLM integration strategy for processing unstructured medical charts and building predictive models serving 1M+ members.• Improved diagnostic model accuracy by 20% for critical rare health conditions using novel long-tailed distribution algorithms, reducing false negatives while maintaining performance across 50+ health classifications.• Own AI operations for multi-million dollar healthcare product managing 10+ client accounts, responding to weekly data requests, and maintaining 99%+ model uptime with continuous feature integration.• Built multi-label NLP classification models processing medical charts to predict diabetes, cancer, and chronic disease diagnoses, enabling automated risk stratification for healthcare providers.• Lead technical innovation through researching and presenting latest AI/LLM breakthroughs (GPT, BERT, transformer architectures) to expand team capabilities and evaluate emerging healthcare applications.• Developed hierarchical multi-label classification models integrating latest research on long-tailed datasets, conducting experiments to evaluate and optimize model performance.
EDUCATION
The Catholic University of America
Master of Science - MS, Nuclear Physics
Peking University
Master of Science - MS, Elementary Particle Physics
Oklahoma State University
Doctor of Philosophy (PhD), Theoretical and Mathematical Physics
ABOUT YANZHI MENG
Senior Data Scientist with 15+ years translating complex research into production ML systems that drive measurable business outcomes. Currently at UnitedHealth Group leading AI operations for multi-million dollar healthcare line of business, where I improved diagnostic model accuracy by 20% for critical rare conditions while processing medical data for 1M+ members.Deep expertise in NLP, deep learning, and statistical modeling across healthcare, fintech, and regulatory compliance. Track record includes building anomaly detection systems for FINRA protecting market integrity across firms, optimizing engine diagnostics reducing repair time from days to hours, and increasing customer retention by 12% through predictive modeling.PhD in High Energy Physics with publications in peer-reviewed journals. Passionate about model interpretability, stakeholder communication, and bridging the gap between cutting-edge AI research and practical business applications.Top skills & technologies- Machine Learning & AI- Natural Language Processing (NLP)- Deep Learning & Neural Networks- Python & Data Science- Model Development & Deployment- Statistical Modeling
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