I am a 3rd year PhD student in the Intelligent Systems Program at the University of Pittsburgh. My research is on quantifying uncertainty about model generalization; e.g., through PAC learning bounds. I am also interested in using learning bounds for algorithm design, especially in case multiple data distributions are involved. Currently, my research focuses on application of deep-neural networks in natural language understanding and generation tasks. Previously, I also worked on application of deep networks in computer vision and medical imaging. I also have industry experience working with natural language data, spatial data, and tabular data using a wide-variety of machine learning and statistical tools. Please see my resume for a more thorough accounting of publications and experience.
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