I started as a Assistant Professor of Computer Science in the department of Electrical Engineering & Computer Science at the United States Military Academy in July 2012. Prior to my appointment, I was a Ph.D. student in the Department of Computer Science & Engineering at Texas A&M University. During the last year of my PhD, I was recognized as a Texas A&M University Dissertation Fellow.
I completed my M.S. in Computer Science in 2008 from Rensselaer Polytechnic Institute. For academic year 2007-2008, I was recognized as a Rensselaer Master Teaching Fellow for my performance as a teaching assistant. I earned my B.S. in Computer Science from Rensselaer in 2006. Prior to that, I received a 2006 summer research grant from the CRA-W Distributed Mentoring Program (DMP). I am also a member of the honor society of Phi Kappa Phi, and the international honor society for the computing and informational disciplines, Upsilon Pi Epsilon.
About my research: Computational Phylogenetics is a branch of Computational Biology that studies how different sets of organisms (taxa) are related to one another through the use of algorithmic techniques commonly found in Computer Science, particularly in the areas of Data Mining and Parallel Computing. The overarching goal of this area of research is to determine how exactly sets of organisms are related, and to one day determine the structure of the Tree of Life. My current research involves developing new algorithms that enable scientists to efficiently analyze, store and share their large collections of evolutionary trees.