TsLLM: Augmenting LLMs for General Time Series Understanding and Prediction
Parker F, Chan N, Zhang C, Ghobadi K · International Conference on Machine Learning
Felix Parker is a postdoc in the Center for Systems Science and Engineering. His research has included developing LLMs that can reason about time series data and designing optimization models to improve capacity management for healthcare systems. His research interests are in developing AI systems for medical and scientific discovery.
Projects
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Time Series LLMs with Reasoning
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Scheduling in Surgery and Homecare
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Patient State Modeling in Critical Care: LLMs and Continuous State Estimation
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Optimizing Capacity Management Decisions for Healthcare Systems Under Stress
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Covid-19 Mortality in US Counties
Selected publications
Optimal hospital capacity management during demand surges
Parker F, Ganjkhanloo F, Martínez DA, Ghobadi K · Health Care Management Science
Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning
Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu · arXiv preprint arXiv:2510.03181
Eliciting Chain-of-Thought Reasoning for Time Series Analysis using Reinforcement Learning
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
Chan N, Parker F, Bennett W, Wu T, Jia MY, Fackler J, Ghobadi K · Machine Learning for Healthcare Conference.