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 clinical applications such as noninvasive prenatal testing and cancer detection.

Specialised Research Area(s):

(1) Developing mathematical algorithms and bioinformatics software for the Next Generation Sequencing (NGS) data analysis.

(2) Developing bioinformatics algorithms for the noninvasive prenatal diagnosis and noninvasive cancer diagnosis.

(3) Field-Programmable Gate Array (FPGA) based computing acceleration for NGS-based big data analysis.

1. Jiang P*, Sun K*, Peng W*, Cheng SHK Jiang P, Sun K, Peng W, Cheng SH, Ni M, Yeung PC, Heung MMS, Xie T, Shang H, Zhou Z, Chan RWY, Wong J, Wong VWS, Poon LC, Leung TY, Lam WKJ, Chan JYK, Chan HLY, Chan KCA, Chiu RWK, Lo YMD. Plasma DNA End-Motif Profiling as a Fragmentomic Marker in Cancer, Pregnancy, and Transplantation. Cancer Discovery. 2020;10:664-673. (*contributed equally to this work).

2. Jiang P*, Sun K*, Tong YK, Cheng SH, Cheng THT, Heung MMS, Wong J, Wong VWS, Chan HLY, Chan KCA, Lo YMD, Chiu RWK. Preferred end coordinates and somatic variants as signatures of circulating tumor DNA associated with hepatocellular carcinoma. Proceedings of the National Academy of Sciences of the United States of America. 2018;115: E10925-E10933 (*contributed equally to this work).

3. Jiang P*, Chan CW*, Chan KCA*, Cheng SH, Wong J, Wong VW, Wong GL, Chan SL, Mok TS, Chan HL, Lai PB, Chiu RWK, Lo YMD. Lengthening and shortening of plasma DNA in hepatocellular carcinoma patients. Proceedings of the National Academy of Sciences of the United States of America. 2015;112(11):E1317-25. (*contributed equally to this work).

4. Sun K*, Jiang P*, Chan KCA*, Wong J, Cheng YK, Liang RH, Chan WK, Ma ES, Chan SL, Cheng SH, Chan RW, Tong YK, Ng SS, Wong RS, Hui DS, Leung TN, Leung TY, Lai PB, Chiu RWK, Lo YMD. Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments. Proceedings of the National Academy of Sciences of the United States of America. 2015. (*contributed equally to this work).

5. Jiang P, Sun K, Lun FM, Guo AM, Wang H, Chan KCA, Chiu RWK, Lo YMD, Sun H. Methy-Pipe: an integrated bioinformatics pipeline for whole genome bisulfite sequencing data analysis. PLoS One 2014;9(6):e100360.

6. Chan KCA*, Jiang P*, Chan CW*, Sun K, Wong J, Hui EP, Chan SL, Chan WC, Hui DS, Ng SS, Chan HL, Wong CS, Ma BB, Chan AT, Lai PB, Sun H, Chiu RWK, Lo YMD. Noninvasive detection of cancer-associated genome-wide hypomethylation and copy number aberrations by plasma DNA bisulfite sequencing. Proceedings of the National Academy of Sciences of the United States of America. 2013;110(47):18761-8. (*contributed equally to this work).

7. Jiang P, Chan KCA, Liao GJ, Zheng YW, Leung TY, Chiu RWK, Lo YMD, Sun H. FetalQuant: deducing fractional fetal DNA concentration from massively parallel sequencing of DNA in maternal plasma. Bioinformatics 2012;28(22):2883-90.

8. Chan KCA, Jiang P, Zheng YWL, Liao GJW, Sun H, Wong J, Siu SSN, Chan WC, Chan SL, Chan ATC, Lai PBS, Chiu RWK, Lo YMD. Cancer genome scanning in plasma: detection of tumor-associated copy number aberrations, single-nucleotide variants, and tumoral heterogeneity by massively parallel sequencing. Clinical Chemistry. 2013;59, 211-224.

9. Yu SCY*, Chan KCA*, Zheng YWL*, Jiang P, Liao GJW, Sun H, Akolekar R, Leung TY, Go ATJI, van Vugt JMG, Minekawa R, Oudejans CBM, Nicolaides KH, Chiu RWK, Lo YMD. Size-based molecular diagnostics using plasma DNA for noninvasive prenatal testing. Proceedings of the National Academy of Sciences of the United States of America. 2014; 111, 8583-8588. (*contributed equally to this work).

10. Chan RWY, Jiang P, Peng X, Tam LS, Liao GJW, Li EKM, Wong PCH, Sun H, Chan KCA, Chiu RWK, Lo YMD. Plasma DNA aberrations in systemic lupus erythematosus revealed by genomic and methylomic sequencing. Proceedings of the National Academy of Sciences of the United States of America. 2014; 111, E5302-E5311.