Research Project Portfolio
How can optimization and AI help healthcare?
Methods and ModelsTime 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 temperature and pollut
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Methods and ModelsInverse Optimization for Utility Functions
Many real decisions are shaped by an optimization problem that nobody has fully written down.
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Methods and ModelsFeasible Regions Recovery of Optimization Models
Many real decisions are constrained in ways that are only partly written down.
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AI and HealthcarePatient 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 inte
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AI and HealthcareThe Impact of AI Scribe on Primary Care Workload
Primary care clinicians spend large amounts of their working hours, both in- and outside of the clinic, updating electronic health record (EHR) documentation for patients.
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Healthcare Operations & Resource ManagementScheduling in Surgery and Homecare
We study healthcare scheduling across the patient care pathway, from surgery to post-discharge home care.
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Healthcare Operations & Resource ManagementInventory Management and PPE Procurement
Most inventory models address demand uncertainty but give limited attention to lead time uncertainty, particularly endogenous lead time uncertainty, and often ignore stockpile policies and large-scale
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Healthcare Operations & Resource ManagementOptimizing Capacity Management Decisions for Healthcare Systems Under Stress
Healthcare systems face increasing pressure from demand surges caused by pandemics, natural disasters, and seasonal illnesses.
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Clinical Decision SupportPatient Mobility and Falls Risk Assessment Tools
This project utilizes data-driven optimization and machine learning methods to improve the quality of inpatient fall risk assessment and decision-making.
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Precision Medicine & Personalized Treatment OptimizationTowards Global Optimality in Stereotactic Radiation Therapy
This work focuses on brain stereotactic radiosurgery for patients with multiple metastases to identify a single "isocenter" location, the point the machine rotates around as it delivers radiation from
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Precision Medicine & Personalized Treatment OptimizationRadiation Therapy Treatment Planning via Inverse Optimization
This project tackles a practical bottleneck in radiation therapy planning: even with modern planning software, clinicians often have to "tune" dose-volume limits for tumors and nearby organs through r
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Precision Medicine & Personalized Treatment OptimizationPersonalized Dietary Approaches for Chronic Disease Management
This project develops a preference-aware inverse optimization + clustering framework for precision nutrition, aimed at producing diet recommendations that jointly reflect (i) expert dietary constraint
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Covid-19Covid-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 linke
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