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Vinodh Srinivasasainagendra

Vinodh Srinivasasainagendra Statistician II
Department of Biostatistics
Ryals Public Health Bldg, 443E
University of Alabama at Birmingham
Birmingham, AL 35294
Phone: (205) 975-9275
Fax: (205) 975-2540
E-mail: Vinodh@uab.edu
Full CV


Vinodh received his M.S degree in Electrical Engineering from University of Alabama at Birmingham with specialization in Optical Engineering and a second M.S degree in Computer Science with specialization in High-Performance computing. As a part of his research he served as a Graduate research Student at the Center of Telecommunication Research (CTER), UAB and as a Graduate Student at Enabling Technology Lab(ETLab), UAB.

Vinodh was hired as a Programmer/Analyst in January 2004 with the Department of Biostatistics – Section on Statistical Genetics. His responsibilities include

  • Lead and coordinate project efforts involving scientific subject domain experts and computing members. Choreograph computing development and data-analysis by acting as a channel between the scientific investigators group and the computing working group. With access to top-notch high performance computing (HPC) resources, I offer computing solutions for bio-IT and related life science problems.
     
  • Establish science communication channels with other scientific members of the community through paper publications, attending workshops, participation in seminars and webinars. Being able to dismantle high-level scientific specification into functional units and being able to delegate and coordinate with other members of the working group has added weekly challenges to my efforts handled in the section. Conduct and coordinate training and outreach sessions on high-performance computing and web technologies to other computing members, postdoctoral fellows and research investigators.

Publications
 

  • 2010
  • 2008
  • 2007
  • 2006
  • 2005
  1. Inusah S, Sormani MP, Cofield SS, Aban IB, Musani SK, Srinivasasainagendra V, Cutter GR. Assessing changes in relapse rates in multiple sclerosis. Mult Scler. 2010 Dec;16(12):1414-21. Epub 2010 Sep 1. [PMID: 20810517]
  1. Cross-Chip Probe Matching Tool: A Web-Based Tool for Linking Microarray Probes within and across Plant Species. Ghanekar R, Srinivasasainagendra V, Page GP. Int J Plant Genomics. 2008;2008:451327. Epub 2008 Oct 21. [PMID: 18949054]
     
  2. CressExpress: a tool for large-scale mining of expression data from Arabidopsis. Srinivasasainagendra V, Page GP, Mehta T, Coulibaly I, Loraine AE. Plant Physiol. 2008 Jul;147(3):1004-16. Epub 2008 May 8. [PMID: 18467456]
     
  1. An adaptive alpha spending algorithm improves the power of statistical inference in microarray data analysis. Brand JP, Chen L, Cui X, Bartolucci AA, Page GP, Kim K, Barnes S, Srinivasasainagendra V, Beasley MT, Allison DB. Bioinformation. 2007 Apr 10;1(10):384-9. [PMID: 17597927]
  1. Transcriptional coordination of the metabolic network in Arabidopsis. Wei H, Persson S, Mehta T, Srinivasasainagendra V, Chen L, Page GP, Somerville C, Loraine A. Plant Physiol. 2006 Oct;142(2):762-74. Epub 2006 Aug 18. [PMID: 16920875]
     
  1. HDBStat!: a platform-independent software suite for statistical analysis of high dimensional biology data. Trivedi P, Edwards JW, Wang J, Gadbury GL, Srinivasasainagendra V, Zakharkin SO, Kim K, Mehta T, Brand JP, Patki A, Page GP, Allison DB. BMC Bioinformatics. 2005 Apr 6;6:86. [PMID: 15813968]