College of Information and Computer Sciences
University of Massachusetts Amherst
I am a PhD candidate working in the Information Extraction and Synthesis Lab
with Professor Andrew McCallum. I started in Fall 2012. Previously I was a software engineer and consultant at Mavenomics, Inc., developing business intelligence software for the financial sector, working on compilers, query engines, financial math and data visualization. I graduated from Duke University in 2010 with a B.S. in Mathematics and Economics. I received my M.S. in Computer Science from the University of Massachusetts Amherst in 2015, passing the PhD candidacy portfolio With Distinction.
I interned with Paul Mineiro and Nikos Karampatziakis in the Microsoft Cloud Information Services Laboratory in the summer of 2014. I interned with Andrew Dai on the Google Brain team in the summer of 2015. I interned with George Dahl on the Google Brain team in the summer of 2016.
I am broadly interested in machine learning, natural language processing and knowledge base construction. Areas of interest include common sense knowledge, representation learning, structured prediction, coreference, and optimization. I have also recently begun dabbling in zero-emissions energy and medical applications. I have been the fortunate co-author of multiple publications awarded Best or Outstanding Paper, since two is a multiple of one.
I am also an armchair PLT and functional programming enthusiast, and chief maintainer of the factorie machine learning toolkit.