Jiang Peiyong

Biography

Peiyong Jiang is currently an assistant professor and a bioinformatician at the Department of Chemical Pathology, The Chinese University of Hong Kong. He received his bachelor’s degree in bioengineering from Huzhou Teachers College in 2006. During that time, he was trained in biology, biochemistry, genetics, biostatistics and programming languages. Afterwards, he received his master’s degree of crop genetics and breeding from Huazhong Agricultural University in 2009. During the time of pursuing master’s degree, he was mainly trained in advanced genetics, statistics and bioinformatics. His research work involved the plant microRNA prediction in silico, particularly using machine learning algorithm to explore Next Generation Sequencing (NGS) data. Thereafter, he received his Ph.D. in Chemical Pathology from The Chinese University of Hong Kong in 2012 and had postdoctoral training at the Department of Chemical Pathology, The Chinese University of Hong Kong from 2012 to 2015. Since he joined the department, he has been working on bioinformatics. With a multidisciplinary background of genomics, bioinformatics, computational biology and statistics, he has a long-standing research interest in NGS-based bioinformatics data analysis as well as its applications in clinical development and use. Peiyong Jiang is currently an assistant professor and a bioinformatician at the Department of Chemical Pathology, The Chinese University of Hong Kong. He received his bachelor’s degree in bioengineering from Huzhou Teachers College in 2006. During that time, he was trained in biology, biochemistry, genetics, biostatistics and programming languages. Afterwards, he received his master’s degree of crop genetics and breeding from Huazhong Agricultural University in 2009. During the time of pursuing master’s degree, he was mainly trained in advanced genetics, statistics and bioinformatics. His research work involved the plant microRNA prediction in silico, particularly using machine learning algorithm to explore Next Generation Sequencing (NGS) data. Thereafter, he received his Ph.D. in Chemical Pathology from The Chinese University of Hong Kong in 2012 and had postdoctoral training at the Department of Chemical Pathology, The Chinese University of Hong Kong from 2012 to 2015. Since he joined the department, he has been working on bioinformatics. With a multidisciplinary background of genomics, bioinformatics, computational biology and statistics, he has a long-standing research interest in NGS-based bioinformatics data analysis as well as its applications in clinical development and use.

Research Interest

Developing mathematical algorithms and bioinformatics software for the Next Generation Sequencing (NGS) data analysis. Developing bioinformatics algorithms for the noninvasive prenatal diagnosis and noninvasive cancer diagnosis. Field-Programmable Gate Array (FPGA) based computing acceleration for NGS-based big data analysis.