Fangzhi Luo

PhD Student in Epidemiology & Biostatistics

Fangzhi Luo is a Ph.D. candidate in the Department of Epidemiology and Biostatistics at the University of Georgia, working under the mentorship of Dr. Ye Shen. His research is motivated by the critical need for advanced statistical methodologies to analyze vast and complex data across diverse scientific domains—including biomedical sciences, epidemiology, social sciences, environmental studies, neuroscience, industry, and business. These datasets often present significant analytical challenges due to their intricate structures, complex dependencies, high dimensionality, heterogeneity, and informative missingness.

Fangzhi is dedicated to developing novel statistical theories and methods to address these challenges and solve scientific problems with broad societal impact. His work integrates modern statistical techniques and machine learning approaches, aiming to make key contributions to the grand challenges of big data analytics.

By bridging theoretical statistics with practical applications, Fangzhi aims to contribute to the advancement of statistical science and provide powerful analytical tools. His interdisciplinary approach seeks to empower researchers and professionals to extract meaningful insights from complex data, ultimately driving innovation and addressing critical issues in society.