Wei Jiang 江伟, PhD

Research Associate




Office: Room 4609, Academic Building, HKUST, Clearwater Bay, Kowloon, HK Email: wjiangaa at connect dot ust dot hk
Wei Jiang resume photo avatar

Short Bio

I received my PhD in Electronic and Computer Engineering from the Hong Kong University of Science and Technology. My research interests lie in the fields of Bioinformatics and Biostatistics. Currently, I am focusing on investigating statistical issues in genome-wide association studies.

Education

PhD in Electronic and Computer Engineering, HKUST, Feb. 2012 - Nov. 2016.

PhD Thesis: Statistical Issues in Genome-Wide Association Studies. [Slides][Thesis]

B.Eng. in Automation, Tsinghua University, Sep. 2007 - Jul. 2011.

Certificate in Basic Mathematics and Physics Program.

Professional Experience

Feb. 2015-now, Laboratory for Bioinformatics and Computational Biology, ECE, HKUST
Research Assistant/Associate

Sep. 2011-Dec. 2011, Bioinformatics Division, Department of Automation, Tsinghua University
Research Assistant

Visiting

Center for Statistical Genomics and Proteomics, Yale School of Public Health, Jun. 2016 - Aug. 2016.4


Publications

Journals

Jiang, W., & Yu, W. (2016). Jointly determining significance levels of primary and replication studies by controlling the false discovery rate in two-stage genome-wide association studies. Statistical Methods in Medical Research, doi:10.1177/0962280216687168. [Software][Paper]

Jiang, W., & Yu, W. (2016). Controlling the joint local false discovery rate is more powerful than meta-analysis methods in joint analysis of summary statistics from multiple genome-wide association studies. Bioinformatics, doi:10.1093/bioinformatics/btw690. [Software][Paper]

Jiang, W., Xue, J.-H., & Yu, W. (2016). What is the probability of replicating a statistically significant association in genome-wide association studies? Briefings in Bioinformatics, doi:10.1093/bib/bbw091. [Software][Paper]

Jiang, W., & Yu, W. (2016). Power estimation and sample size determination for replication studies of genome-wide association studies. BMC Genomics, 17 (Suppl 1):3, also presented in the Fourteenth Asia Pacific Bioinformatics Conference (APBC 2016), San Francisco, US. [Paper][Software][Slides][Poster][Award 2, 3]

Yang, G., Jiang, W., Yang, Q., & Yu, W. (2015). PBOOST: a GPU-based tool for parallel permutation tests in genome-wide association studies. Bioinformatics, 31(9), 1460-1462. [Paper][Software]

Chen, Y., Hao, J., Jiang, W., He, T, Zhang, X., Jiang, T., & Jiang, R. (2013). Identifying potential cancer driver genes by genomic data integration. Scientific Reports, 3, 3538. [Paper]

Zhang, H., Jiang, W., Zhou, J., Chen, Z., & Li, J. (2011). M3FEC: Joint Multiple Description Coding and Forward Error Correction for Interactive Multimedia in Multiple Path Transmission. Tsinghua Science and Technology 16(3), 320-331. [Paper][Award 1]

Other Experience

Oct. 2010-Dec. 2010, Sametime Group, IBM China Development Center, Beijing
Part-time Intern as Software Programmer

Sep. 2010-Dec. 2010, Beijing Mozilla Online Ltd.
Part-time Intern as Add-on Developer

Sep. 2009-Jun. 2010, SINA Web College, Beijing, China
PHP Programmer Trainee

Awards

42016  Overseas Research Award (2015-16) at HKUST

32016  Best Paper Award, The Fourteenth Asia Pacific Bioinformatics Conference (APBC2016), South San Francisco, US

22016  UGC Research Travel Grant (2015-16) at HKUST

12009  2nd prize, Excellent Students Research Training (SRT) Project at Tsinghua University

2008  3rd prize, 1st Mozilla Cup Firefox Browser Design Contest, China

2006  1st prize, National High School Mathematics Competition, China

2006  2nd prize, National High School Physics Competition, China

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