My current work spans multiple topics in Natural Language Processing (NLP) and Computational Linguistics. I have a special interest in NLP for low-resource, morphologically rich languages, including morphological learning, text normalization, tagging, and machine translation. I lean heavily on state-of-the-art machine learning methods, especially deep learning neural networks. I'm also interested in improving these models by focusing on system interpretability and understanding how their internal operations and representations relate to human language performance.