Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learning
Parker F, Chan N, Zhang C, Ghobadi K · arXiv preprint
Nimeesha Chan is a PhD student in the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE), the Institute for Assured Autonomy (IAA), and the Malone Center for Engineering in Healthcare at Johns Hopkins University. She has served as Secretary for the INFORMS JHU student chapter and as a board member for the Civil and Systems Engineering Graduate Association (CSEGA). Nimeesha is passionate about using machine learning to model patient state from multimodal medical data - across different physiological processes and time scales. Her research has focused on augmenting Large Language Models (LLMs) to analyze diverse data types in the Intensive Care Unit (ICU), with applications to understanding and improving patient-ventilator interactions. She aims to advance the integration of data-driven methods with physiological modeling, particularly in understanding cardiopulmonary interactions and how different patient data sources can reveal finer-grained insights into clinical state.
Projects
Selected publications
Augmenting LLMs for General Time Series Understanding and Prediction
Parker F, Chan N, Zhang C, Ghobadi K · arXiv preprint
MedTsLLM: Medical Time Series Analysis Using Multimodal LLMs
Chan N, Parker F, Zhang C, Bennett W, Jia MY, Fackler J, Ghobadi K · IEEE Journal of Biomedical and Health Informatics.
Medtsllm: Leveraging llms for multimodal medical time series analysis
Nimeesha Chan, Felix Parker, William Bennett, Tianyi Wu, Mung Yao Jia, James Fackler, Kimia Ghobadi · arXiv preprint arXiv:2408.07773
Leveraging LLMs for multimodal medical time series analysis
Chan N, Parker F, Bennett W, Wu T, Jia MY, Fackler J, Ghobadi K · Machine Learning for Healthcare Conference.
Medtsllm: Leveraging llms for multimodal medical time series analysis, 2024
Nimeesha Chan, Felix Parker, William Bennett, Tianyi Wu, Mung Yao Jia, James Fackler, Kimia Ghobadi · URL https://arxiv. org/abs/2408.07773