ZHU Junxian

ZHU Junxian is a Research Fellow at the Saw Swee Hock School of Public Health, National University of Singapore. Their work focuses on statistical methodologies in public health, particularly in best-subset selection, genome-wide association studies (GWAS), and addressing non-compliance in randomized clinical trials.

Education: Bachelor of Statistics from Sun Yat-Sen University, followed by a PhD in Statistics from the same institution.

Research interests emphasize advancing statistical techniques for high-dimensional data analysis and genetic studies. Recent publications include contributions to algorithmic solutions for best-subset selection and extensions to bivariate GWAS methodologies. Their work bridges computational statistics with practical applications in clinical and genetic research.

No scientific awards explicitly mentioned. No advising or grant details provided in the text. Affiliated with NUS's public health research initiatives, though specific lab/team affiliations are not detailed here.