I am a second-year PhD student at University of Pennsylvania. I
work in the programming languages group under the guidance of Mayur Naik. My research
interests include the intersection of deep learning with programming
languages, generative models of visual and musical programs, and
computer science and the arts.
I am currently working on building a deep generative model for images with regular structure which can be captured by a simple program. Current generative models for images work very well locally, but fail to capture structural properties of the entire image.
I also spend a lot of time thinking about how to come up with computational models of creative domains, in particular music. After working on a few projects using either purely statistical or purely logical approaches (constraint-based, grammar-based, or based on program synthesis) to music generation, I have decided that a model which seeks to produce realistic music must be able to deal with both structural rules and the instances where those rules are only approximately followed or broken.