research

My research spans clinical NLP, speech and language technologies for healthcare, and computational epidemiology. I am interested in building interpretable, equitable AI systems for health applications.

Publications & Submissions

Heterogeneity across Race and Ethnicity for Menopause Onset

Sarika Pasumarthy, Maggie Hurley, Irene Y. Chen, Nitya Thakkar, Monica Agrawal, Yulin Hswen

Using the NIH All of Us Research Program Controlled Tier dataset (v8, n = 11,306), we analyze age at first menopause diagnosis across three progressively refined cohorts, finding that Asian & Pacific Islander and Indigenous/Other individuals experience significantly earlier menopause onset than White individuals after covariate adjustment.

Associated project: Menopause AI Initiative

Research Groups

Berkeley Speech Group – Prof. Gopala Anumanchipalli, UC Berkeley EECS Speech and language technologies for neurocognitive disorder detection.

Computational Precision Health – Prof. Irene Chen & Prof. Yulin Hswen, UC Berkeley & UCSF Large-scale EHR analysis, sex differences in multimorbidity, and reproductive health equity.