Summary
Yu-ting Yeh is a data science researcher and incoming Rice University statistics graduate student with nine years of experience applying statistical modeling, machine learning, and data engineering to health, education, and finance problems. She has led and contributed to large-scale genomics quality control and GWAS analyses, implemented mixed models to identify genetic variants, and built production-ready dashboards and ML pipelines that improved model accuracy and patient monitoring. Her work spans from designing ER databases and Tableau visualizations for policy impact to deploying Rasch models for high-stakes exam scoring, demonstrating strength in translating domain requirements into reproducible analytics. Comfortable in Python, PyTorch, and SQL, she combines rigorous statistical thinking with practical engineering to deliver timely insights for stakeholders. An early indicator of her research focus: she has already led cross-disciplinary teams and published operational reports integrating omics, proteomics, and clinical data.
9 years of coding experience
2 years of employment as a software developer
George R. Brown School of Engineering Master in Statistics, George R. Brown School of Engineering Master in Statistics at Rice University
Bachelor of Business Administration - BBA Statistics, Bachelor of Business Administration - BBA Statistics at National Taipei University