Martin Bootsma

Martin Bootsma is an Assistant Professor affiliated with the Mathematics Department of Utrecht University (40% appointment) and the Julius Center for Health Sciences and Primary Care at UMCU. His work bridges mathematical and statistical modeling with infectious disease dynamics, particularly antimicrobial resistance and public health interventions.

• Education: Master in Theoretical Physics and Mathematics (cum laude), PhD in Mathematical Dynamics of Antibiotic Resistance (2005).

His research focuses on mathematical epidemiology, analyzing the spread of antimicrobial resistance, transmission dynamics of pathogens (e.g., SARS-CoV-2, E. coli, Pseudomonas aeruginosa), and evaluating interventions like contact tracing apps and vaccination strategies. He employs computational models, Bayesian inference, and phylodynamic assessments to study disease control. Recent publications highlight his expertise in SNP distance analysis, host population heterogeneity, and travel-associated resistance gene acquisition.

His collaborations span institutions such as Imperial College London and Utrecht University, with applications in healthcare epidemiology, zoonotic diseases, and interdisciplinary education. No scientific awards or student advising information is currently available.