About me

I'm a PhD candidate in Epidemiology and Population Health at Stanford School of Medicine, defending in late 2026. My research connects three things that don't usually sit together: traditional cohort epidemiology, smartphone-based digital phenotyping, and the lived experience of aging after a major health event like stroke.

My dissertation traces a thread from pre-stroke physical mobility (using 25+ years of follow-up in the Cardiovascular Health Study) to post-stroke lifespace measured passively from participants' own phones (in Stanford's Cardinal LifeSpace study). Methodologically, I work across causal inference, ensemble machine learning, and longitudinal modeling. I'm co-advised by Michelle Odden, PhD and Marion Buckwalter, MD, PhD.

My training has been a long arc through the life sciences: a BA in Molecular and Cell Biology with a Neuroscience concentration at UC Berkeley, an MS in Epidemiology and Clinical Research at Stanford, and several years working in industry digital health before returning for the PhD. My doctoral research has been supported by an NIH F31 fellowship from the National Institute on Aging, an NIH T32 training grant, and the Stanford Data Science Scholars program.

Outside of research, you can find me consulting with Halo Biosciences, a clinical-stage biotechnology company with a mission to create first-in-class, disease-modifying therapies for the treatment of inflammatory and fibrotic diseases. That work spans clinical operations, regulatory strategy, and longitudinal biomarker analysis, and it keeps me close to the translational side of research. I also lead the data and technology work streams for the HealthinClimate.ai hackathons held around the world.

I live in San Francisco with my husband and our cat Simi. I'm a fan of matcha, IndyCar racing, and tennis, and I spend a lot of time cooking my way through Serious Eats and Bon Appétit.