Mr. James Lowey is the Vice President of Technology at the Translational Genomics Research Institute (TGen). Mr. Lowey is responsible for the architecture, management and daily operation of TGen’s High Performance Computer (HPC) systems that include a 2000-core parallel cluster supercomputer, various large Symmetric Multi-Processing (SMP) machines and petabytes of storage. James is also responsible for installation, optimization and management of scientific applications in the TGen HPC environment. In addition to supporting the HPC environment, Mr. Lowey is responsible for networks and servers hosting a variety of scientific and administrative applications and data repositories for both TGen and collaborators. James joined TGen in 2003 and has been working in conjunction with scientists in the application of computing to life-sciences research, in order to facilitate this he has brought two supercomputer systems to TGen that have placed in the top 100 most powerful supercomputers in the world (www.top500.org) and within the top 10 supercomputers that are dedicated to life sciences research. James works closely with TGen scientists to implement and provide computational tools and data management systems to help facilitate and accelerate translational genomics research.

Prior to joining TGen, Mr. Lowey worked as a consultant for various Fortune 500 companies, designing, building and managing large-scale computational systems to solve complex problems and process large amounts of data in a timely fashion.

Selected Publications

1. Xu J, Lowey J, Wiklund F, Sun J, Lindmark, F, Hsu F-C, Dimitrov L, Chang B, Turner AR, Liu W, Adami H-O, Suh E, Moore JH, Zheng SL, Isaacs WB, Trent JM, Grönberg H. The Interaction of Four Genes in the Inflammation Pathway Significantly Predicts Prostate Cancer Risk. Cancer Epidemiol Biomarkers Prev 2005;14:2563-2568.
2. Hua J, Xiong Z, Lowey J, Suh E, Dougherty ER. Optimal number of features as a function of sample size for various classification rules. Bioinformatics 2005 21(8):1509-1515.
3. Simaa C, Attoor S, Brag-Netob U, Lowey J, Suh E, Dougherty ER. Impact of error estimation on feature selection. Pattern Recognition, 2005:38;2472-2482.
4. Ashish Choudhary, Marcel Brun, Jianping Hua, James Lowey, Edward Suh, Edward R. Dougherty: Genetic test bed for feature selection. Bioinformatics 22(7): 837-842 (2006).
5. Hua J, Lowey J, Xiong Z, Dougherty ER. Noise-injected neural networks show promise for use on small-sample expression data. BMC Bioinformatics. 2006 May 31;7:274.
6. Hua J, Balagurunathan Y, Chen Y, Lowey J, Bittner ML, Xiong Z, Suh E, Dougherty ER. Normalization benefits microarray-based classification. EURASIP J Bioinform Syst Biol. 2006:43056.
7. Tembe WD, Pearson JV, Homer N, Lowey J, Suh E, Craig DW. Statistical comparison framework and visualization scheme for ranking-based algorithms in high-throughput genome-wide studies. J Comput Biol. 2009 Apr;16(4):565-77.