Research

My research interests vary widely. During my undergraduate career I was predominantly interested in statistical and machine learning, but decided to engage in a creative, new probabilistic problem for my senior project. In graduate school my interests have adapted and developed. I became interested in the work of (my current advisor) Luis Carvalho dealing with Bayesian methods for conducting high-dimensional inference; in particular the computational challenges associated with such methods. While a list of publications can be found here, below is a short list of summaries for the different projects I've been a part of.

Undergraduate

Summer 2008 - REU in Machine Learning

• Participated in a "Research Experience for Undergraduates." Bayesian Network Structure Search with fMRI data. Our aim was to identify causal relationships, or time-dependent associations, between areas of the brain based on fMRI data taken of patients both with schizophrenia and without.

2007-2009 - Senior Project (Cal Poly - SLO)

• Work with Dr. Matthew Carlton on a combination of the Josephus Problem and Russian Roulette. ("If Josephus Had Played Russian Roulette")

Graduate

Fall 2010 - Present (BU)

• I have been working with Dr. Luis Carvalho and Dr. Mark Friedl on projects related to land-cover classification, land-cover change detection and image segmentation (by land-cover). In general, Luis and I are working on (efficient computational) methods for high-dimensional discrete inference using graphical models. I have presented our work at the New England Statistics Symposium (2012, 2013) and at the Joint Statistical Meetings (2012, 2013).