I am a Ph.D. student in Princeton University's Graduate Program in Quantitative and Computational Biology at the Lewis Sigler Institute, where I am a member of the Troyanskaya Lab. My research generally focuses on computational methods for directing experimental studies and interpreting biological "big data". I am particularly interested in using machine learning methods to study genomics. Previously, I was a member of the Kostic Lab at the Joslin Diabetes Center, where I developed tools and algorithms for metagenomics and cloud computing. During my undergraduate studies at Trinity University, I was part of the Hibbs Computational Biology Lab, where I made machine learning methods for identifying noise in high-throughput genomic data. A more detailed history of my research may be found in my CV.