lab

The Computational Social Listening Lab at the University of Pennsylvania.

Computational Social Listening Lab

The Computational Social Listening Lab develops machine learning and NLP methods to measure health behaviors, disparities, and outcomes across cultures and communities. We use large-scale digital data – social media, electronic health records, online reviews, and smartphone interactions – to uncover insights that improve health outcomes and reduce health disparities.

Visit our lab website for the latest on our research, tools, and projects.


Current Members

Sunny Rai
Sunny Rai
Postdoctoral Researcher
Vivienne Chi
Vivienne Chi
Postdoctoral Researcher
Neil Sehgal
Neil Sehgal
PhD Student
Jeffrey Cho
Jeffrey Cho
PhD Student
Naomi Lynch
Naomi Lynch
Master's Student
Yuan Yuan
Yuan Yuan
Master's Student
Reyhan Jamalova
Reyhan Jamalova
Research Analyst

Interested in joining?

We are always looking for motivated students and researchers interested in applications of NLP and machine learning to health – including global mental health, vaccine acceptance, health disparities, and culturally-aware AI. If you are interested, send an email with your CV to sharathg at cis dot upenn dot edu.

See our lab website for more about our alumni and their placements.