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RACHITA SHARMA
7197 NE Ronler Way, Apt 118, Hillsboro OR 97124 rachita.sharma@UNB.CA Tel. (503) 895-3619
HIGHLIGHTS
♦ Recently worked as a Summer Intern at the DNA Lab, Oregon Health & Science University
♦ Experience working on Perl, C++, SQL Server, MySQL, PL/SQL, and HPC clusters
♦ Worked with the following J2EE technologies: XML, HTML, _javascript, JSP, Servlets, JDBC
♦ Working knowledge of Analysis, Design, Development, Testing and Maintenance modules
♦ Excellent communication and interpersonal skills
♦ Team player having worked independently in multi-cultural international teams
EDUCATION
2004-present
University of New Brunswick, Fredericton, Canada
♦ Ph.D. candidate in the Department of Computer Science
♦ Research Area: Prediction of regulatory networks of non-model organisms (Network mapping)
2002-2003
State University of New York (SUNY), Utica NY
♦ M.S. in Computer and Information Science
♦ Research Area: Data mining using clustering algorithms in bioinformatics
1996-2000
Nagpur University, India
♦ B.E. (Bachelors of Engineering) in Computer Technology
TECHNICAL SKILLS
Programming Skills and Tools: Perl, Object-oriented design (OOD), UML, C, C++, PL/SQL
Databases and Tools, Oracle, MySQL, Rational Rose, JDBC-ODBC, MS-Access, MS Project
Operation Systems: Windows NT/2000/98/95, UNIX, MS-DOS
Web Technology and Tools: JSP, HTML, XML, Servlets, _javascript.
EXPERIENCE
University of New Brunswick, Canada (Partly in collaboration with Canada Potato Genome Project)
2004-present
Research bottomistant, Department of Computer Science
♦ Developed a model for transferring regulatory information between closely related organisms
♦ Utilized large-scale high performance computing (HPC) facilities, Perl and MySQL to process and store
data, dealt with huge biological databases
2004
Teaching bottomistant, Department of Computer Science
♦ Taught Numerical Methods course
State University of New York Institute of Technology, Utica
2002-2003
Research bottomistant, Department of Computer Science
♦ Analyzed various clustering algorithms for data mining in extracting relevant biological information
from microarray expression data
2003
Teaching bottomistant, School of Information Systems and Engineering Technology, and Arts & Sciences
♦ Taught college-level courses in Computer Science and Mathematics
Sprint Technologies (P) Ltd., India
2001-2002
Software Developer
♦ Analyzed project requirements for planning the design and development of databases
♦ Responsible for monitoring and reporting the project
Software Technology Group, India
2000-2001
Software Developer
♦ Involved in the complete cycle of analysis, design, development and testing of the projects
♦ Developed modules for generating dynamic reports based on user query
♦ Designed and created the databases in SQL Server and tested the application
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SELECTED PUBLICATIONS AND CONFERENCES
♦ Sharma, R.; Evans, P.A.; Bhavsar, V. C., “Mapping Regulatory Network from a Model to a Non-Model
Organism”, Submitted.
♦ Sharma, R.; Evans, P.; Bhavsar, V. C., “Transcription Factor mapping between Bacteria Genomes”,
International Journal of Functional Informatics and Personalised Medicine 2009, Vol. 2, 4, 424-441.
♦ Sharma, R.; Evans, P.; Bhavsar, V. “Mapping Transcription Factors from a Model to a non-Model Organism”,
Proceedings of the International Joint Conferences on Bioinformatics, Systems Biology and Intelligent
Computing 2009, 160-166.
♦ Sharma, R.; Evans, P.; Bhavsar, V. “Prediction of Regulatory Networks for Non-Model Organisms”,
Proceedings of the Fifth Annual Research Exposition 2008, 99-104 and poster presentation.
♦ Advanced Computational Proteomics: Structure, Imaging and Control certification from Lipari International
Summer School on BioInformatics and Computational Biology, Italy 2007.
♦ Bioinformatics Research for the Canadian Potato Genome Project, Oral Presentation, Rendez-Vous BioSciences
N-B, Sackville, NB, Nov. 3-4, 2004.
♦ Sengupta, S.; Andriamanalimanana, B.; Card, S.W.; Das, K.; Sharma, R.; Gunasekaran, A. “Data mining a
high-speed bursty stream on a limited buffer in pseudo-stationary states” Intelligent Data Acquisition and
Advanced Computing Systems: Technology and Applications, Proceedings of the Second IEEE International
Workshop, 2004, 201-204.
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