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AISHWARYA SUNDARESAN Department of Biostatistics Ryals Public Health Bldg, 410A University of Alabama at Birmingham Birmingham, AL 35294 Phone: (205) 975-9237 [email protected] Education MS in Biomedical Engineering. May 2014. The University of Texas at Dallas, Richardson, TX B.Tech in Bioinformatics. July 2008. SASTRA University, Tanjore, India Technical Skills Operating Systems Framework Languages Bioinformatics Techniques Bioinformatics Tools and Databases RDBMS Versioning Application Servers Internet Technologies Certifications Windows, Ubuntu Linux, Scientific Linux Chordiant 6.3 Java, R, Matlab, Perl Sequence Alignment, Multiple Sequence Alignment, Phylogenetic Analysis, Gene Finding, MS (Mass Spectrometry) data analysis, Proteomics, PTM analysis, SILAC quantitation. CLUSTALW,NJ-PLOT, PHYLODRAW, BLAST, BLOCKS, GeneNetWeaver, NCBI, EBI, TCGA, GenBank, PDB, RefSeq, Uniprot, TrEMBL, EnsEMBL Oracle 9i/10g, MySQL, SQL IBM Rational Clearcase, Git IBM WebSphere Application Server 6.1, BEA WebLogic 8.x,Apache Swing, Java Beans, HTML, JavaScript, JDBC, SOAP (Simple Object Access Protocol), JSF, JDBC Oracle Certified Java Programmer (Ver. 1.6, Year 2010) Chordiant Certified Technical Developer (Ver. 6.3, Year 2011) Research Experience Computational Biologist I May 2014 to May 2015 Biochemistry Department and Proteomics Core University of Texas Southwestern Medical Center PI: Hamid Mirzaei, PhD Analyze Mass Spectrometry data for proteomics core customers, collaborators and provide them with statistical reports. Identify differentially expressed proteins across several MS results using PLGEM. Develop and maintain the software and various applications used by the proteomics core and the lab. Develop algorithms and provide bioinformatics expertise for the various research projects performed in the lab. Meet with the proteomics core customers and other researchers to discuss the results and suggest experiments for their research. Perform network and system administration of the servers and computers of the proteomics core. Graduate Research Assistant Feb 2013 to May 2014 Vidyasagar Laboratory for Computational and Cancer Biology The University of Texas at Dallas PI: Mathukumalli Vidyasagar, PhD Instrumental in development and performance evaluation of an algorithm for inferring gene regulatory networks (GRN) from gene expression data based on Sparse Bayesian learning framework. Performed performance evaluation of the regression based GRN algorithm bLARS. Evaluated and built on third-party open source GRN inference and other bioinformatics codes and applications using Matlab and R. Analyzed clinical and expression data of lung (LUAD, LUSC), ovarian (OV) and breast (BRCA) cancer from The Cancer Genome Atlas. Ability to design and code new algorithms for analysis of large NGS data sets and apply bioscientific information to software development. Good understanding of statistics and bioinformatics algorithms and tools and selectively adopt for internal use. Expertise in analyzing large scale datasets and expression arrays such as Affymetrix and Agilent. Adept in probabilistic modelling techniques such as Markov Chains, Hidden Markov Models and Bayesian Networks. Demonstrated understanding of Machine Learning techniques like Classification, Regression, Ridge regression, LASSO and Elastic Net. Strong understanding of molecular biology and next generation DNA sequencing. Publications Nitin Singh, Aishwarya Sundaresan and M.Vidyasagar. A Sparse Bayesian Learning Based Approach to Inferring Gene Regulatory Networks. Proceedings of 2013 IEEE Global Conference on Signal and Information Processing, Austin, TX. December 2013. Professional Experience Systems Engineer Oct 2008 – July 2011 TATA Consultancy Services Limited, Chennai, Tamil Nadu, India. Strong understanding of project development with excellent analytical skills; good exposure to entire software life cycle phases. Worked in the Commercial Banking Integration team for the client Lloyds Banking Group (LBG) and helped implement software patches which addressed the gap between the external third party products and the applications developed by TCS for LBG which in turn helped to monitor the products on a continuous basis for discrepancies. Worked in the e-Statements team to convert one of LBG’s legacy Mainframe applications to a Java based system thereby updating the system for better performance. Successfully managed a team of four programmer analysts as part of the Java Transformation Project for LBG. Member of “Futures and Innovations” team at TCS where employees volunteer their time to pick a project to improve application functionality, ease of use and to mitigate internal issues faced with the software systems. Designed a mirror solution to combat external system outages for LBG and received awards for this work from the client. Java programming language instructor for new TCS employees.