I am a fifth-year Ph.D. Candidate in the Department of Computer Science at the University of Maryland, College Park. I am a member of the CLIP lab working with Marine Carpuat. My research interests are broadly in Multilingual Natural Language Processing (NLP) and Machine Translation.

My recent work focuses on building better models across diverse languages by using humans and AI as joining forces. In my past work, I focused on revisiting common hypotheses adopted when modeling and evaluating multilingual content:

✔️ Improving Machine Translation Through Semantic Analysis: A source text and its translation are not always equivalent in meaning—a common hypothesis made when training machine translation systems. I have worked on building models and algorithms for detecting, analyzing, and mitigating the impact of small cross-lingual meaning differences on machine translation training.

✔️ Revisiting Style Transfer Beyond English: Progress recorded when modeling English does not always port to other languages—a common hypothesis made in Multilingual NLP. I have worked toward creating resources and evaluation models that lay the foundation for studying the task of controlling stylistic variations in natural language generation in a multilingual setting.