Operations Research & Optimization
Models for planning, allocation, routing, and logistics.
Quantitative research for complex decisions in business, healthcare, and society.
Models for planning, allocation, routing, and logistics.
Statistical analysis, data science, and AI for organizational and social questions.
Quantitative methods for healthcare systems and clinical decision-making.
Evidence-based decisions in business, healthcare, and the public sector.
Research themes across the publication record.
Research on mathematical oncology, radiotherapy planning, anticancer treatment selection, blood-bank location, and healthcare management.
Quantitative approaches to pandemic response, COVID-19 policy, vaccine comparison, and national eHealth efforts.
Work spanning portfolio optimization, media allocation, traveling-salesperson problems, and multiobjective decision models.
A coverage-based location model examines how to place electric-vehicle charging stations along Türkiye’s D400 and D550 highways. The case connects operations research with logistics and sustainable mobility, translating a real infrastructure-planning challenge into a quantitative location problem.
Research on mass shootings and police violence in the United States applies canonical correlation and multiple correspondence analyses to cross-sectional data. It demonstrates how multivariate methods can illuminate relationships across complex social indicators while keeping association distinct from causation.
Experience contributing to university, national, and European Union supported research projects, working across quantitative sciences, business, social research, and health sciences.
Delivered invited and keynote talks in quantitative healthcare and mathematical medicine, and contributed to public discussion through newspaper, magazine, and television interviews.