Hello! I began my PhD in Computer Science in the Fall of 2017. My advisor is Peter Chin. Before that, I received my BS from Case Western Reserve University in Mathematics.
My research interests lie in machine learning, graph theory, and information theory and its applications to data analysis. This semester I am taking Advanced Algorithms with Steven Homer and Adaptive Data Analysis with Adam Smith. The latter is an exciting topic for me, uniting several of my interests under a single umbrella.
I am auditing Statistical Learning Theory and Applications at MIT. That class, combined with Adaptive Data Analysis, means I spend a lot of my time thinking about overfitting and model generalization. My current main research project is on time series prediction in a small data setting, which ties in well with my coursework.
In addition to my classes, I'm actively learning graph theory, with emphases on algebraic graph theory and stochastic block modeling.