Gorka Bidegain
مدرس ارشد · Marine Ecology
National Research Institute for Mathematics and Computer Scienceمعرفی
Gorka Bidegain serves as a Senior Lecturer in the Department of Applied Mathematics at the University of the Basque Country since October 2017 and holds a Research Affiliate position at the Gulf Coast Research Laboratory, University of Southern Mississippi. His academic profile bridges advanced mathematical techniques with marine ecological applications.
His research centers on marine ecological and population dynamics modeling, with specialized focus on disease ecology and pathogen transmission systems. Bidegain employs integrated laboratory/field experiments and computational modeling to analyze population responses to environmental heterogeneities and climate variability impacts on marine ecosystems and host-pathogen interactions. He actively develops novel algorithms for marine disease modeling and climate-marine population dynamics.
His publication record includes significant contributions like the 2019 preprint on discrete stochastic marine metapopulation disease modeling, demonstrating his methodological approach to marine disease dynamics. This work exemplifies his broader research trajectory in applying mathematical frameworks to infectious disease processes within marine environments.
Scientific Awards: No specific awards or honors are documented in the provided materials.
Bidegain has secured substantial research funding through participation in over 20 competitive national and international projects, including three European Union initiatives and three National Science Foundation (NSF) grants. He maintains active professional engagement as a member of the Ecology of Infectious Marine Diseases Research Coordination Network (EIMD-RCN) at Cornell University, the Marine Biological Association, and the Estuarine and Coastal Sciences Association.
His collaborative work occurs primarily through the EIMD-RCN consortium and interdisciplinary teams spanning mathematical biology, marine ecology, and disease modeling, with ongoing development of open-source computational tools (R, Matlab) for ecological disease modeling.
