I am a computational biologist and software developer with a strong interest in systems biology and mathematical modeling. I am also passionate about developing open source software that is of use to the scientific community.
GAMBIT (Genomic Approximation Method for Bacterial Identification and Tracking) is a software tool for rapid taxonomic identification of microbial pathogens from WGS data. Developed in collaboration with the Nevada State Public Health Lab, the Alameda County Public Health Lab, and the David Hess lab at Santa Clara University.
- Masters in Biological and Medical Informatics, UCSF (2019)
- BS in Molecular Biology, Santa Clara University (2012)
- Bioinformatics Researcher and Software Developer (Jun 2020 - present)
- Graduate Student, UCSF (Sep 2017 - Mar 2020)
- Bioinformatics Analyst and Software Developer (Jan 2017 - Dec 2017)
- Application Developer / Data Analyst, Primity Bio (Jan 2015 - Jan 2017)
- Life Science Research Associate, Primity Bio (Jul 2012 - Dec 2014)