I am an undergraduate researcher working in Professor Chris Callison-Burch's lab. My research interests
include applying deep learning techniques to natural language processing problems, specifically in the domain of information extraction and dialogue systems. I've published in the ACL anthology and the SPIE Defence Journal.
Currently, I am using deep learning to build an information-extraction system to parse news articles and build a dataset of gun violence in the United States. Last summer, I've worked on automatic chatbot evaluation in the lab of Professor Chris Callison-Burch. We built ChatEval, a scientific framework for evaluating neural open domain chatbots. ChatEval also runs standardized automatic and human evaluations using word embeddings and Mechanical Turk for human evaluation.
In 2016, I published a conference paper in the 2016 SPIE Defense journal and presented a talk on the cloud architecture I helped design for the online processing of sensor data from autonomous vehicles with applications for abstracting computation for mobile applications. This architecture is later developed at Trackgen and deployed into production.