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Tom Lindström is a Senior Associate Professor at Linköping University specializing in theoretical biology with a focus on applied modeling in fields such as ecology and epidemiology. His research interests lie at the intersection of biological processes and statistical methods, emphasizing the use of computation in modeling. Lindström's projects often involve Bayesian analyses of structured data, particularly in the context of livestock epidemiology. His work addresses the challenges posed by Transboundary Animal Diseases (TADs), which threaten food security and raise animal welfare concerns. He develops computational algorithms to efficiently simulate disease outbreaks, thus aiding policymakers in evaluating control strategies within the global livestock industry. His research also explores ensemble modeling to leverage multiple models for improved predictions in epidemiology, along with investigating movement ecology to understand organism movement patterns. Additionally, he collaborates on developing statistical methods for wildlife monitoring in Sweden to estimate hunting impacts based on voluntary reporting.
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