Lue Ping Zhao is a biostatistician with a background/experience in bioinformatics, epidemiology and genetics. He aims to accelerate the translation of big data technologies and findings to clinical practice and preventive medicine.
Zhao studies the mechanisms of solid-tumor growth using expression and SNP arrays, and short-read sequencing methods. His research interests include genetic epidemiology, biomedical informatics, population-based study designs and risk-prediction modeling. He develops statistical methods for assessing the interplay of genetics and environment on disease risk, including genome-wide association studies and gene-sequence analysis. He has developed innovative study designs and methods that enable interdisciplinary collaborations, bridging the gap between genetic and epidemiologic research.
Lue Ping Zhao is a biostatistician with a background/experience in bioinformatics, epidemiology and genetics. He aims to accelerate the translation of big data technologies and findings to clinical practice and preventive medicine.
Zhao studies the mechanisms of solid-tumor growth using expression and SNP arrays, and short-read sequencing methods. His research interests include genetic epidemiology, biomedical informatics, population-based study designs and risk-prediction modeling. He develops statistical methods for assessing the interplay of genetics and environment on disease risk, including genome-wide association studies and gene-sequence analysis. He has developed innovative study designs and methods that enable interdisciplinary collaborations, bridging the gap between genetic and epidemiologic research.