I am a first year Computer Science PhD student boardly insterested in Natural Language Understanding and Representation. Particularly, my research interests are Question Answering (QA), Semantic structure understanding, Model Robustness and Interpretability.
Prior to UMD, I worked with Language Research teams at Google Research as AI Resident, where I primarily worked on Model Interpretation and Analysis for Question Answering, and Semi-Structed Text Understanding for QA and NLI.
In the past, I have also worked on some of the Computer vision and Machine Learning problems like: Human motion sequence modeling, Generative and Representation Learning and Adversarial Machine Learning.
I am quite excited about learning and applying Visually grounded contexts for Language Understanding tasks as well.