Summary
Ren-huai Huang is a Principal Data Scientist with 11 years of experience bridging biomedical research and enterprise clinical informatics to deliver production-grade risk models and large-scale analytics for health systems. Trained as a Ph.D. biochemist, he pairs deep domain knowledge with practical expertise in Python, R, cloud (Google Cloud/BigQuery), and ML frameworks (fastai, PyTorch, TensorFlow) to drive value-based care, population health, and clinical quality improvement. He has led analytics organizations at Ascension and Pediatric Associates, built and validated morbidity and readmission models used for system-wide reporting, and corrected foundational issues in CMS Star Ratings through reproducible R tooling. A hands-on mentor and developer, he authors R packages and custom biosensor/structural biology analysis code, translating complex statistical learning and Bayesian methods into auditable clinical decision support. Based in Chesterfield, Missouri, he combines academic rigor with operational delivery, uniquely fluent in both high-performance scientific computing and enterprise data pipelines.
11 years of coding experience
11 years of employment as a software developer
M.S. Biochemistry and Molecular Biology, M.S. Biochemistry and Molecular Biology at Hunan Normal University
Ph.D. Biochemistry and Molecular Biology, Ph.D. Biochemistry and Molecular Biology at Chinese Academy of Sciences
English, Chinese