I am a developer based in Richmond, VA with a masters degree in Bioinformatics. If you are in Richmond, odds are that you will either find me hunched over my road bike racing down the Capital Trail or hunched in front of a computer working on a new project. Working as a post-graduate bioinformaticist and scientific programmer at Virginia Commonwealth University, I have had the opportunity to develop software in an array of different laboratories and settings.
Devised a novel method for utilizing frequent item-set data mining techniques to find conserved patterns in the different global causes of mortality
Demonstrated ability to communicate highly technical information in a clear and concise manner for the development of novel tools and methods to fight against the Influenza virus
Addressed the needs of fifteen students by imparting direct, integrative expertise in the form of computational, quantitative, and biological knowledge
Developed a three-tiered web application with a small team that provides a catalogue of all living reptile species and their classification; currently there are more than 10,000 species including another 2,800 subspecies
Database focuses on taxonomic data (i.e. names and synonyms), distribution information, and literature references
Developed a command-line tool used to calculate and compare percent identities of different open reading frames of homologous mRNA sequences across various model organisms
Advised and assisted VCU technology services in the design and implementation of matters related to service design, programming, and promotion of technology
Conducted a preliminary metagenomic analysis to characterize shifts in microbial communities of mice with long-term opioid exposure
Characterized effects have extended and validated earlier clinical correlative observations of mice with opioid-induced gastrointestinal microbial pathogenesis
Evaluated thirty-three students’ homework and programming projects related to algorithm design, implementation and bioinformatics analysis
Maintained help sessions twice a week and provided constructive feedback for students with questions
Student Technology Advisory Committee
Society of Bioinformaticists
Data-Mining World Health Organization data to find conserved patterns in the different global causes of death. The pipeline developed for this project implements an adapted version of the apriori algorithm as its heuristic to effectively reduce runtime from several decades to a few minutes.
View ProjectThe study of reptile biodiversity is important to biologists for many reasons. It aids in understanding of an ecosystem's health, and it also aids in understanding how well these organisms can adapt to selective pressures. However, due to high levels of biodiversity, it can be difficult to create accurate family trees and classification. In order to fully visualize the scope of the biodiversity of extant reptiles, we created a database that can be accessed via a web interface. Currently there are more than 10,000 species including another 2,800 subspecies. The database contains information pertaining to taxonomic data (i.e. names and synonyms), distribution information, and literature references.
View Project