Andrew S. Warren
211-8 Virginia Bioinformatics Institute
Virginia Tech
Blacksburg, VA, 24061
Phone: (540) 231- 3375
anwarren@vt.edu
Computer Science
 


INTERESTS


 EDUCATION
 

SKILLS
 
Computer Science:  Bioinformatics

 Life Sciences

 Programming Languages:
C, C++, Perl, Python, SQL, HTML

Environments/Tools :
Unix (Linux, Solaris and FreeBSD), DOS, BASH, Subversion


EXPERIENCE

2005-Present: Graduate Research Assistant for the Setubal Group at Virginia Bioinformatics Institute, Blacksburg, VA. The Setubal group focuses on the development of computational methods for problems in molecular biology. Primary work is in genomics, with emphasis on bacterial genomes. Development of the Genome Reverse Compiler, a tool for the automated annotation of whole bacterial genomes. Explores novel ways for determining, in silico, the location and function of protein coding genes within a genome. Project involves sequence analysis, machine learning, and information theory.

2005: Mass Spectrometrist at Virginia Bioinformatics Institute, Blacksburg, VA. Use of advanced experimental techniques for the analysis of metabolomic data. Maintenance and operation of LC, GC, and TOF mass spectrometers. Other activities included metabolite extraction and sample preparation.

2004-2005: Mass Spectrometrist at Virginia Tech Center for Genomics. Use of advanced experimental techniques for protein analysis and sequencing component of the Dr. Helm and Dr. Potts labs. Involved computational and manual spectral analysis for the recognition of signature peptides.

2002:Lab Assistant at Virginia-Maryland Regional College of Veterinary Medicine, Virginia Tech, Blacksburg, VA. Use of biomedical comparison techniques for the analysis of neurons affected by vibrational damage using transmission electron microscopy.

2001-2002: Undergraduate researcher for Biomedical Sciences at Virginia-Maryland Regional College of Veterinary Medicine, Virginia Tech, Blacksburg, VA. Funding obtained from Biological Sciences Initiative at Virginia Tech. Studied the pathology of Iron Regulatory Protein knock-out in mice as it relates to the neurodegenerative diseases. Collection and comparison of data on neuronal damage using transmission electron microscopy.



PUBLICATIONS
 

Activities: