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
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 […]
Optimizing Capacity Management Decisions for Healthcare Systems Under Stress
Healthcare systems face increasing pressure from demand surges caused by pandemics, natural disasters, and seasonal illnesses. When hospitals operate near capacity, patient outcomes often deteriorate and staff burnout increases; however, […]
Forecasting Outbreaks
We utilize available epidemiological surveillance data (cases, hospitalizations, wastewater), travel data, land use patterns, climate data, sociodemographic data, behavioural data, policy and ecological models within statistical, machine learning and AI […]
Covid-19 mortality in US counties
This work follows a healthcare-systems question across multiple waves of COVID-19 in the United States that “as clinical care, variants, vaccination, and hospital strain changed, did the factors linked to […]