Lead supervisor:
Prof Bahman Rostami-Tabar 
Other supervisor(s):
- Dr Jeremy Dixon
Start date: October 2024 (Full time)
Award: General
Subject Pathway:
Management and Business
Thematic Cluster:
Economy, Enterprise, and Productivity Cluster
In partnership with:
Enhancing discharge care coordination in health and social care: A probabilistic data-driven modelling approach
My research focuses on reducing delays and inefficiencies in hospital discharge processes and patient flow. Specifically, I work to improve discharge care coordination and operational effectiveness, including workforce planning and patient care delivery. To achieve this, I develop decision-making frameworks that integrate probabilistic machine learning and forecasting models with sequential optimization techniques. My work also leverages machine-learning-based causal inference methods to provide actionable insights for healthcare providers and administrators on the factors contributing to discharge delays and inefficiencies.
I am passionate about mathematical modeling and uncertany quantification, with a focus on developing probabilistic forecasting models and tailored machine learning solutions to address complex healthcare challenges under uncertainty. I particularly enjoy building these models from scratch in Python as reusable packages, with applications in healthcare operations and patient care delivery.