About me

I'm a Ph.D. student at George Mason University and I joined Alignment Lab in January 2026. My research investigates how Large Language Models (LLMs) can leverage multimodal behavioral data—including wearable device signals, survey responses, and ecological momentary assessment (EMA)—to generate personalized recommendations for individuals at risk of dementia.

I study how LLMs can translate heterogeneous real-world data into actionable lifestyle guidance that promotes cognitive and social engagement. Rather than focusing solely on model performance, I examine issues of personalization, interpretability, and responsible deployment in health contexts. My goal is to bridge behavioral sensing and generative AI to develop scalable, human-centered systems that support cognitive health and dementia risk reduction.