Aleida Braaksma

Aleida Braaksma is a Lecturer at the University of Twente, affiliated with the TechMed Centre and Mathematics of Operations Research department. Her work bridges Artificial Intelligence with Health and Well-being, focusing on optimizing healthcare systems through Operations Research methodologies.

• Key Affiliations: Digital Society Institute, TechMed Centre, Mathematics of Operations Research department
• Research Themes: Reinforcement Learning, Data Mining, Process Mining, and Queueing Theory applications in healthcare logistics

Her recent publications highlight advancements in medical diagnostic scheduling, bed allocation, and adaptive clinical trial designs. She has pioneered dynamic robust optimization frameworks for time-sensitive pharmaceutical workflows and developed sampling-based methods for Gittins index approximation in stochastic environments.

Scientific contributions include:

• Optimization of rheumatology outpatient clinics via patient classification algorithms
• Response-adaptive procedures in clinical trials using constrained Markov decision processes
• Real-time forecasting systems for pandemic-related hospital capacity planning
• Computerized decision support for nurse-to-patient assignment