About

I’m a Ph.D. candidate in Computer Science at Emory University, advised by Prof. Joyce Ho.

My research focuses on building and evaluating machine learning systems for healthcare, with an emphasis on retrieval-augmented generation (RAG), question-answering, and patient-facing AI. In particular, I’m interested in how language models can be used safely and effectively in real-world settings, where incorrect outputs can directly impact patient outcomes. My work explores evaluation of LLM-based question-answering (QA) systems, the role of retrieval in improving reliability, personalization, and how these systems can support patient education and adherence in metabolic conditions such as diabetes and glycogen storage disease. My secondary interests include multimodal machine learning (including vision-language models), and integrating social determinents of health (SDOH) data into patient interventions.

Alongside research, I’m interested in building deployable systems. I co-founded Zuki Health, a mobile health application for children with glycogen storage disease and their caregivers. I have also worked as a software engineer intern at J.P. Morgan Chase & Co. and at Plug and Play Tech Center.

Before starting my PhD, I received my B.S. in Computer Science and Engineering from The Ohio State University, where I conducted research in analytical chemistry using machine learning and spectroscopy to study environmental pollutants.