Research

My research explores the complex links between climate change, biodiversity loss, and ecosystem functions through an interdisciplinary approach that combines ecoinformatics, macroecology, climatology, and invasion ecology. Using advanced data analysis, fieldwork, and theoretical integration, I study how environmental shifts affect nature's ability to support human well-being, focusing on vegetation structure, species richness patterns, and new ecosystem assemblages. My work assesses ecological novelty at the biosphere level and the effects of rapid human-driven pressures creating unprecedented global ecological conditions, providing vital scientific insights for climate policy development. As a member of the IPBES Taskforce on Scenarios and Models, lead author of the upcoming Second Biodiversity Global Assessment, and former Coordinating Lead Author for the IPBES Thematic Assessment on Invasive Alien Species, I connect biodiversity science with climate policy, promoting the integration of nature-based solutions and ecosystem resilience into climate strategies. My publications in top journals like Nature Ecology & Evolution and Global Change Biology reflect my expertise in translating complex scientific data into policies that address the interconnected crises of the planetary emergency.

Profile

I am a climate researcher at Aarhus University specializing in climate change, biodiversity loss, and ecosystem functioning through ecoinformatics and macroecology. As ECONOVO core member and IPBES Taskforce participant, I study ecological novelty and anthropogenic impacts on global ecosystems. Former Coordinating Lead Author for IPBES Invasive Alien Species Assessment, I bridge biodiversity science with climate policy. My research in Nature Ecology & Evolution and Global Change Biology provides evidence for addressing planetary crises through data analysis and policy translation.

Teaching

I teach three graduate-level courses at Aarhus University that reflect my commitment to equipping students with the analytical, computational, and interdisciplinary skills necessary to address contemporary environmental challenges. In "Programming and Statistics for Biologists," I introduce students to the fundamental principles of statistical analysis and programming using R, enabling them to handle, analyze, and visualize biological data effectively—a critical foundation for modern ecological research. The course "Statistical and Geospatial Modelling" builds upon these foundations by teaching students how to apply advanced statistical techniques and spatial analysis methods to real-world ecological datasets, empowering them to understand and model complex patterns in biodiversity, species distributions, and environmental gradients across landscapes. Through "Climate Change - Cross-disciplinary Challenges and Solutions," I guide students in exploring the multifaceted dimensions of climate change from scientific, social, economic, and political perspectives, fostering their ability to think critically about integrated solutions that address both mitigation and adaptation while considering the interconnected challenges of biodiversity loss and ecosystem degradation. These courses collectively prepare the next generation of scientists to conduct rigorous quantitative research while maintaining a holistic understanding of how climate and biodiversity crises intersect with human systems. Beyond my teaching responsibilities, I serve as Principal Investigator in the MSCA Doctoral Network AgriDry (https://agri-dry.org/), an international research consortium focused on understanding and addressing agricultural drought challenges across Europe through innovative training and collaborative research that brings together ecologists, agronomists, hydrologists, and social scientists to develop sustainable solutions for increasing agricultural resilience in the face of climate change.