Sudhir Naswa

Ph.D. Candidate

School of Genome Science and Technology

Oak Ridge National Lab

The University of Tennessee

Research Advisor:

Dr. Michael A. Langston

Department of Computer Science

Research Interests

Computational Biology, Bioinformatics
High-Throughput Biological Data Processing
Systems Biology
Graph Theory

Current Research Projects

Computational analysis of microarray,physiological and SNP data to infer molecular pathways that mediate genetic susceptibility to low dose ionizing radiation.

Completed Research Projects

Representation of Biochemical Pathway Models (Issues relating conversion of model representation from SBML to a commercial tool)*

Completed Courses

Computer Sciences	Life Sciences	Bioinformatics	Statistics
CS594 Fixed-parameter tractability	BCMB 511 Advanced protein chemistry and cell biology	Bioinformatics introduction*	Statistics 537 Statistics for research-I
Genetic algorithms*	BCMB 512 Advanced molecular biology	Bioinformatics algorithms*	Statistics 538 Statistics for research- II
Object oriented programming*	LIFE SCI 515 Genome science and technology-I	Bioinformatics structure models*	Statistics 563 Mathematical statistics
Procedural programming in Perl*	LIFE SCI 521 Genome science and technology-II	LIFE SCI 507 Bioinformatics/Computational biology-I	Statistics 579 Applied Multivariate Methods
Artificial intelligence-symbol systems*	BCMB 530 Experimental design and analysis	LIFE SCI 507 Bioinformatics/Computational biology-II	-

Biography

I received my B.Sc. in Zoology from University of Delhi, India and M.Sc. in Biotechnology from Banaras Hindu University, India. Thereafter I completed M.Sc. in Bioinformatics from University of Skövde, Sweden.

I have taught for three semestersBiology 140 in University of Tennessee working as a Teaching Assistant.

Some Resources

Low dose radiation research program, Department of Energy,USA.
NCBI tools for mining biological data.
Bioinformatics tools at EMBL
Algorithms for gene expression and proteomics, McGill Center for Bioinformatics, McGill University Montreal.
Bioperl Open source Perl tools for bioinformatics, genomics and life science research.
GST Graduate Student Handbook 2006

*Completed at University of Skövde,Sweden

Last updated Oct 31, 2007.