Nupoor Gandhi

Nupoor Gandhi

I am a first-year Machine Learning and Public Policy PhD student at Carnegie Mellon University. Currently, I am working with Yulia Tsvetkov and Alex Choulechova on building robust NLU, specifically in child welfare and medical domains. Previously, I received my bachelors in Computer Science with a minor in Math at the University of Illinois at Urbana-Champaign. At Illinois I worked on modeling public health outcomes using social media data as a part of the Text Information Management and Analysis Group and the Health and Social Media Group under the supervision of ChengXiang Zhai and Dolores Albarracin. I was also a Data Science for Social Good Fellow at Imperial College London, where I worked on a QA system for nonprofit Barefoot Law to accelerate access to legal advice.  


Google Scholar | CV


Predicting Opioid Overdose Crude Rates with Text-Based Twitter Features (Student Abstract). Gandhi, Nupoor, Alex Morales, Sally Man-Pui Chan, Dolores Albarracin, and ChengXiang Zhai. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 10, pp. 13787-13788. 2020.

Multi-Attribute Topic Feature Construction for Social Media-based Prediction. Morales, Alex, Nupoor Gandhi, Man-pui Sally Chan, Sophie Lohmann, Travis Sanchez, Kathleen A. Brady, Lyle Ungar, Dolores Albarracín, and ChengXiang Zhai. 2018 IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, 2018, pp. 1073-1078