I'm a 5th year 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 arising in the analysis of data sets from multi-stage and multiple genome-wide association studies.
I received my B.Eng. degree from Department of Automation, Tsinghua University in 2011. Besides, I completed the program of Fundamental Math and Physics during my undergraduate study. In this program, I took eleven courses in math and physics specifically offered for the students from Department of Mathematics and Department of Physics.
PhD Student in Electronic and Computer Engineering, HKUST, Feb. 2012 - Present.
B.Eng. in Automation, Tsinghua University, Sep. 2007 - Jul. 2011.
Center for Statistical Genomics and Proteomics, Yale School of Public Health, Jun. 2016 - Aug. 2016.4
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, in press. [Software]
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, USA (Oral Presentation). [Paper][Software][Slides][Poster][Award 2, 3]
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. [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]
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]
Jiang, W., & Yu, W. (under review). 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. arXiv preprint arXiv:1605.08887. [Manuscript][Software]
Sep. 2011-Dec. 2011, Bioinformatics Division, Department of Automation, Tsinghua University
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.
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
2006  1st prize, National High School Mathematics Competition (Provincial Division)
2006  2nd prize, National High School Physics Competition (Provincial Division)