Sarika Pasumarthy

I am an incoming PhD student in Computer Science at Columbia University (August 2026), joining the Spoken Language Processing Group advised by Professor Julia Hirschberg. My research focuses on clinical natural language processing and computational approaches to healthcare.

I graduated from UC Berkeley with a B.A. in Computer Science from the College of Computing, Data Science & Society and a B.S. in Business Administration from the Haas School of Business (May 2026).

Research Interests

My research lies at the intersection of computational linguistics, clinical NLP, and health informatics:

• Speech and language technologies for healthcare
• Neurocognitive disorder detection from naturalistic speech
• Large-scale electronic health record (EHR) analysis
• Human-centered and trustworthy clinical AI

Research

At Berkeley, I worked with Prof. Irene Chen and Prof. Yulin Hswen at Computational Precision Health (UC Berkeley & UCSF), investigating sex differences in multimorbidity burden and racial/ethnic heterogeneity in menopause onset. I also contributed to the Menopause AI Initiative, where I built and maintain the initiative’s website.

I collaborated with Prof. Gopala Anumanchipalli at the Berkeley Speech Group on speech and language technologies for healthcare.

Coursework

CS: 61A, 61B, 61C, 70, 161, 162, 170, 180, 185, 188, 189, 195, 375 | EECS: 106A, 127 | Data: 8, 100

Business: UGBA 10, 100, 102A/B, 103, 104, 105, 106, 107, 135, 191L, 192B/T/ID/MC, 198 | Econ: 1, 100A/B

Misc: Math 53, 54, BioE 25, LS 22, ESPM 50AC, NutSci 104, MCB W61, Music 31, PH 116

Beyond Research

Outside the lab, I play intramural soccer, maintain a running list of Bay Area matcha spots (always looking for recommendations), and love getting lost in a good book. Originally from San Diego — always happy to chat about the best burrito spots.