Download AISHWARYA SUNDARESAN

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.