Rochana Chaturvedi

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I am a Ph.D. candidate at the Natural Language Processing (NLP) Lab, University of Illinois Chicago. My research focuses on NLP applications in the healthcare and social media domains, specifically, for understanding the latent patterns within the evolving narratives. I aim to model precise individual health trajectories integrating clinical notes with medical knowledge graphs. One aspect of my research delves into understanding how the differences in the communication patterns across demographic groups lead to polarized communities on social networks and studying potential interventions to mitigate such polarization. Another strand of my research involves the effective communication of health-related insights. I achieve this by summarizing health answers in informal community question-answering forums employing task-specific fine-tuning of neural language models.

Prior to my doctoral studies, I served as an Assistant Professor of Computer Science at Keshav Mahavidyalaya, University of Delhi, and held the position of Associate Software Engineer at Objective Systems Integrators. I hold a Masters in Computer Applications and Bachelors in Physics.

News

Feb 24, 2024 Announcing successful defense of my PhD proposal, officially entering candidacy and embarking on the next phase of my academic journey! :relaxed:
Jan 23, 2024 :confetti_ball: Thrilled to share that our paper Bridging or Breaking: Impact of Intergroup Interactions on Religious Polarization has been accepted at the ACM Web Conference 2024! Also presenting my thesis research “Temporal Knowledge Graph Extraction and Modeling across Multiple Documents for Health Risk Prediction” at the PhD symposium! :hourglass: Big thanks to NSF for the conference travel award! :raised_hands:
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! :tada:
Jul 12, 2023 :newspaper: Our findings from It’s All in the Name: A Character-Based Approach to Infer Religion are covered by popular news outlet: The Hindu :wave:
Sep 06, 2022 Presenting a lightning talk at NSF-NIH Smart and Connected Health workshop as a student PI. A great experience!