Genomic data can tell us something about where we’ve been as a species, and in doing so, can help us understand where we may be going. In many ways, aspects of our lives are being fundamentally shaped by “Big Data” in biology, which require new analytical frameworks and tools that carefully consider both accuracy and efficiency when analyzing such large and complex data.
I am a broadly trained data scientist currently working as a postdoc in the DeGiorgio group in the Department of Computer & Electrical Engineering and Computer Science at Florida Atlantic University. I conducted my Ph.D. work in the Castoelab lab at the University of Texas, Arlington, where I worked on bioinformatics and computational biology in a diversity of settings and projects. My primary interests can be summarized as an intersection of computer science and quantitative evolutionary genomics. My excitement for statistics, probability, and data science underlie these pursuits that seek to synergize diverse fields and disciplines. In turn, a large part of my work is focused on developing new algorithms, analytical tools, theory, and software for studying mathematical evolution, computational phylogenetics, and statistical genomics.