Wei Jiang (江伟)

PhD Student




Office: Room 4600, Academic Building, HKUST, Clearwater Bay, Kowloon, HK Email: wjiangaa at connect dot ust dot hk
Wei Jiang resume photo avatar

Short Bio

I'm a PhD student in Electronic and Computer Engineering, the Hong Kong University of Science and Technology. My research interests lie in the fields of Bioinformatics and Biostatistics. My current research topic is to investigate statistical issues in genome-wide association studies.

I received my B.Eng. degree from Department of Automation, Tsinghua University in 2011. During my undergraduate study, I completed the program of Fundamental Math and Physics, in which I took eleven courses in math and physics specifically offered for the students from Department of Mathematics and Department of Physics.

Education

PhD Student in Electronic and Computer Engineering, HKUST, Feb. 2012 - Present.

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

Visiting

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


Publications

Journals

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, in press. [Software]

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, in press. [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]

Manuscripts under Review

Jiang, W., & Yu, W. (under review). Jointly determining significance levels of primary and replication studies by controlling the false discovery rate in two-stage genome-wide association studies. [Software]

Working and Intern Experience

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

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

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

Sep. 2009-Jun. 2010, SINA Web College, SINA COM Technology (China) Co. Ltd.
Trained in PHP Programming Program.

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 National Firefox Campus Edition 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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