Monica Agrawal

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 394: Research Independent Study
• COMPSCI 393: Research Independent Study

Publications

• Thakkar N, Patil R, Levy-Gantt R, Hswen Y, Agrawal M, Zou J, et al. Characterization of menopause onset and associated disease risks using large-scale electronic health records. openRxiv. 2026.
• Agrawal M, Chen IY, Gulamali F, Joshi S. The evaluation illusion of large language models in medicine. NPJ Digit Med. 2025 Oct 7;8(1):600.
• Wang H, Yang R, Alwakeel M, Kayastha A, Chowdhury A, Biro JM, et al. An evaluation framework for ambient digital scribing tools in clinical applications. NPJ Digit Med. 2025 Jun 13;8(1):358.
• Hong C, Chowdhury A, Sorrentino AD, Wang H, Agrawal M, Bedoya A, et al. Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments. J Am Med Inform Assoc. 2025 Apr 1;32(4):626u201337.
• Pierson E, Shanmugam D, Movva R, Kleinberg J, Agrawal M, Dredze M, et al. Using Large Language Models to Promote Health Equity. NEJM AI. 2025 Jan 23;2(2).
• Paruchuri A, Aziz M, Vartak R, Ali A, Uchehara B, Liu X, et al. "Whatu2019s Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets. In: Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Findings of Emnlp 2025. 2025. p. 2312u201336.
• Jiang S, Lam BD, Agrawal M, Shen S, Kurtzman N, Horng S, et al. Machine learning to predict notes for chart review in the oncology setting: a proof of concept strategy for improving clinician note-writing. J Am Med Inform Assoc. 2024 Jun 20;31(7):1578u201382.
• 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. p. 1998u20132022.
• 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. p. 1u201313.
• Alkaitis MS, Agrawal MN, Riely GJ, Razavi P, Sontag D. Automated NLP Extraction of Clinical Rationale for Treatment Discontinuation in Breast Cancer. JCO Clin Cancer Inform. 2021 May;5:550u201360.
• 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. p. 19u201330.
• Zitnik M, Agrawal M, Leskovec J. Modeling polypharmacy side effects with graph convolutional networks. Bioinformatics. 2018 Jul 1;34(13):i457u201366.
• Agrawal M, Zitnik M, Leskovec J. Large-scale analysis of disease pathways in the human interactome. In: Pac Symp Biocomput. 2018. p. 111u201322.

In The News

• Theu202fHiddenu202fRisks ofu202fAsking AI foru202fHealthu202fAdvice (Feb 20, 2026 | Duke Today)