Time series LLMs with Reasoning
Many of the signals that matter most in the real world come as numerical time series: heart-rate and ECG traces in hospitals, stock prices and economic indicators in finance, or […]
Felix Parker
Postdoctoral Fellow
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About Felix Parker
Felix Parker is a 5th year PhD student 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.
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Research Projects
Patient State Modeling in Critical Care: LLMs and Continuous State Estimation
Precise modeling of patient states in critical care–essential for timely intervention and outcome prediction–remains constrained by two fundamental challenges: 1) existing models struggle to integrate heterogeneous data streams (e.g. physiological […]
Scheduling in Surgery and Homecare
We study healthcare scheduling across the patient care pathway, from surgery to post-discharge home care. The first project focuses on operating room scheduling with ward inpatient capacity constraints. Elective surgery […]