Monica Munnangi

(she/her/hers)

PhD Student

Monica Munnangi
  • MS in Computer Science, University of Massachusetts Amherst
  • BTech in Computer Science and Engineering, Vellore Institute of Technology — India

Monica Munnangi is a doctoral student at the Khoury College of Computer Sciences at Northeastern University, advised by Byron Wallace and Silvio Amir. Her doctoral research, which she began in 2021 and expects to complete in 2026, focuses on multi-modal machine learning for healthcare. After being introduced to artificial intelligence and machine learning during her undergraduate studies, Munnangi earned her master’s degree from UMass Amherst. While there, she worked in the university’s Information Fusion Lab, aiming to use medical imaging to forecast the progression of Alzheimer’s disease. She also interned as a data scientist at GE Healthcare during that time, using computer vision to examine chest X-rays. Munnangi is interested in leveraging natural language processing to explore relationships in complex, unstructured healthcare data, and is a member of the Northeastern Natural Language Processing Research Group.

  • On-the-fly Definition Augmentation of LLMs for Biomedical NER

    Citation: Monica Munnangi, Sergey Feldman, Byron C. Wallace, Silvio Amir, Tom Hope, Aakanksha Naik. (2024). On-the-fly Definition Augmentation of LLMs for Biomedical NER CoRR, abs/2404.00152. https://doi.org/10.48550/arXiv.2404.00152