Rochana Chaturvedi

I recently defended my Ph.D. dissertation at the Natural Language Processing (NLP) Lab, University of Illinois Chicago. My research focuses on NLP applications for social good, spanning clinical informatics and computational social science domains. My dissertation advances clinical temporal relation extraction, and introduces novel methods for multi-document temporal reasoning for early Type 2 Diabetes detection by integrating graph neural networks, language models, and external knowledge bases. Besides clinical NLP, I’m passionate about examining human behavior and societal dynamics— investigating challenges such as identity inference, social-media polarization and mitigation strategies, covert gender disparities in large language models and their labor market implications, as well as enhacing robustness in their responses.
Prior to my doctoral studies, I served as an Assistant Professor of Computer Science at Keshav Mahavidyalaya, University of Delhi, and worked as an Associate Software Engineer at Objective Systems Integrators. I hold Master’s degrees in Computer Science and Computer Applications, and a Bachelor’s in Physics.
News
Jul 10, 2025 | 🎓 Successfully defended my Ph.D. at UIC with the dissertation “Temporal Reasoning in Clinical Narratives: From Information Extraction to Early Disease Detection”. I am deeply grateful to my advisor, committee, collaborators, and my family. |
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May 15, 2025 | 🎉 Excited to share that our paper, “Temporal Relation Extraction in Clinical Texts: A Span-based Graph Transformer Approach,” has been accepted for publication at ACL 2025! 📄 Preprint. |
May 02, 2025 | 🚨 Our research on gender bias in open-source AI models was featured in The Register! |
Jan 23, 2024 | ![]() ![]() ![]() |
Nov 05, 2023 | Our paper Sequential Representation of Sparse Heterogeneous Data for Diabetes Risk Prediction is accepted in IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023. Thanks NSF for the conference travel grant! ![]() |