Monica Agrawal
Biostatistics & Bioinformatics, Division of Translational Biomedical
Assistant Professor of Biostatistics & Bioinformatics
Education
- Ph.D. Massachusetts Institute of Technology, 2023
Positions
- Assistant Professor of Biostatistics & Bioinformatics
- Assistant Professor of Computer Science
- Assistant Professor of Biomedical Engineering
Courses Taught
- COMPSCI 572: Introduction to Natural Language Processing
- COMPSCI 393: Research Independent Study
Publications
- Agrawal M, Hegselmann S, Lang H, Kim Y, Sontag D. Large language models are few-shot clinical information extractors. In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics; 2022.
- Levy A, Agrawal M, Satyanarayan A, Sontag D. Assessing the Impact of Automated Suggestions on Decision Making: Domain Experts Mediate Model Errors but Take Less Initiative. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. ACM; 2021.
- Chen IY, Agrawal M, Horng S, Sontag D. Robustly Extracting Medical Knowledge from EHRs: A Case Study of Learning a Health Knowledge Graph. In: Biocomputing 2020. WORLD SCIENTIFIC; 2019.
- Zitnik M, Agrawal M, Leskovec J. Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics. 2018 Jul 1;34(13):i457–66.
- Agrawal M, Zitnik M, Leskovec J. Large-scale analysis of disease pathways in the human interactome. In: Biocomputing 2018. WORLD SCIENTIFIC; 2018.