معرفی
Dr. Andrew Hoyle is a Senior Lecturer in the Department of Computing Science and Mathematics at the University of Stirling's Faculty of Natural Sciences. With a PhD in Mathematical Biology from the University of Liverpool (2005) and prior BSc in Mathematics (1999-2002), he has held academic positions since 2006 at Stirling.
- BSc Mathematics, University of Liverpool (2002)
- PhD Mathematical Biology, University of Liverpool (2006)
His research focuses on mathematical modeling of biological systems through three main projects:
- Optimizing antibiotic dosage regimens to combat aquatic bacterial resistance using computational optimization and laboratory experiments
- Modeling the long-term impact of Gyrodactylus salaris on UK Atlantic salmon populations, including evolutionary trade-offs between immunity and life-history traits
- Investigating the evolution of host immune range through adaptive dynamics to understand cross-strain immunity patterns
His 15 most recent publications span Mathematical Biology, Evolutionary Ecology, and Computational Immunology, with key subfields including:
- Antibiotic resistance dynamics in aquaculture
- Salmon parasite population recovery
- Multi-scale biological process algebra
- Predator-mediated pathogen exclusion
- Evolutionary chaos in ecological systems
Dr. Hoyle has secured multiple grants including:
- £96,000 CEFAS/Stirling grant (2013-2017) on aquatic antibiotic resistance
- £60,000 SRUC/Stirling grant (2015-2019) on salmonid disease control
- £400 Carnegie grant (2010) on resistance evolution
- £90,000 DEFRA/CEFAS grant (2009-2013) on parasite impacts
He supervises PhD students working on:
- Mathematical disease quantification in aquaculture
- Antibiotic resistance control in fish pathogens
- Multi-scale integration modeling of marine physiology
- Evolutionary mating behavior
- Population disease control in patchy environments
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