Computer Science, B.S. and Molecular Biology, B.S.
Developed an automated health insurance billing system in Python, efficiently addressing problems usually solved with raw manpower. Accurately estimates reimbursements so patients can be optimally billed.
Investigated emerging viral pathogens in acute and chronic human disease utilizing two metagenomics-based technologies. The first is ultra high-throughput sequencing and the second is the 'Virochip', a pan-viral microarray that is capable of detecting both known and novel viruses in clinical specimens.
Investigated and reported on performance with various applications. Worked with partners to create joint solutions and briefs. Analyzed the competitive landscape.
Proposed, designed, and created a framework in Python to measure performance and identify regressions by comparing numerous metrics between builds.
Developed and used a novel method for studying circadian rhythms in Neurospora Crassa. Allowed for automated live recording of data rather than error prone periodic observations.