Stanford-trained epidemiologist working with sensor-derived and clinical cohort data, using causal and longitudinal methods.
I build measures of mobility and cognition from GPS, smartphone and cohort data, mostly in aging and stroke. PhD in Epidemiology and Population Health, Stanford, defending December 2026. Open to research scientist, epidemiology, RWE/HEOR and health data science roles starting in 2027.
Selected work
Heat and older adults' mobility. Built the GPS pipeline and life-space measures for 82 older adults using their own iPhones. Life space contracted sharply above about 29°C (84°F). Innovation in Aging 2026; covered by the SF Chronicle and Stanford Medicine (Links below).
Aging in the Cardiovascular Health Study. First-author papers on immune cell subsets and longevity (J Gerontol A, 2025) and on hearing, social networks and depressive symptoms (Age and Ageing, 2022), drawing on 25+ years of cohort follow-up.
Recent
Sep 2026 — Heat and mobility study covered by the San Francisco Chronicle and Stanford Medicine.
Sep 2026 — Strategic Advisor, Data & Technology, Health in Climate AI hackathon, Cornell Tech (NYC).
Jun 2026 — PhD scholar, inaugural AHLI Health AI Summer Camp, University of Washington.
Nov 2025 — Profiled by Stanford Data Science.
At a glance
Stanford PhD and MS, Epidemiology · NIH F31 (NIA) and T32 (NHLBI) fellow · Stanford Data Science Scholar · R, Python, SQL · San Francisco