Timo Adam

Timo Adam is a Guest Researcher at the Department of Mathematical Sciences, University of Copenhagen. His research intersects statistical analysis and environmental science, focusing on ecological monitoring and predictive modeling.

• Current Affiliation: Department of Mathematical Sciences, University of Copenhagen

His recent publications highlight two key areas: (1) climate change effects on aquatic ecosystems using electronic tagging, and (2) methodological advancements in statistical modeling through Markov-switching decision trees. These works reflect expertise in interdisciplinary research connecting computational methods with environmental science.

Collaborations span multiple international institutions, with research outputs published in high-impact journals like Canadian Journal of Fisheries and Aquatic Sciences and AStA Advances in Statistical Analysis. His work has garnered attention from 1 news outlet and 44 social media posts.