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. I’m especially interested in how we can evaluate these systems before deployment so they are safer, more reliable, and more useful in real-world settings. My recent work spans practical LLM judging for health QA, synthetic testbeds for targeted retrieval evaluation, and the design of benchmarking principles for RAG systems. Looking ahead, I want to apply those pre-deployment frameworks to personalized consumer health coaching systems, especially for metabolic health, so that conversational agents can adapt to individual needs while remaining knowledge-grounded and trustworthy. 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.