Miguel D. Mahecha

Miguel D. Mahecha is a Full Professor of Environmental Data Science and Remote Sensing at the University of Leipzig's Faculty of Physics and Earth System Sciences, where he serves as Institute Head of the Institute for Earth System Science and Remote Sensing. He is also a key figure at the Remote Sensing Centre for Earth System Research, a collaborative initiative between Leipzig University and the Helmholtz Centre for Environmental Research (UFZ). His academic positions include being a Principal Investigator in the Centre for Scalable Data Analytics and Artificial Intelligence and co-spokesperson for the National Research Data Infrastructure for Earth System Sciences (NFDI4Earth).

Mahecha's research focuses on understanding ecosystem responses to climate extremes and human-environment relationships during these extreme events. His work spans macro-ecological dynamics, ecosystem functioning, and the development of Earth System Data Cube methodologies that combine empirical methods with theoretical understanding. His research employs data-driven approaches and high-dimensional Earth observations to unravel complex interactions within the Earth system.

His recent publications reveal a strong emphasis on compound climate extremes, Earth system data cubes, and AI applications in environmental science. Mahecha's work frequently addresses the intersection of biodiversity, climate extremes, and ecosystem functioning, with particular attention to developing novel methodologies for analyzing spatiotemporal patterns in Earth system data.

• Fellow of the European Laboratory for Learning and Intelligent Systems
• Member of the German Centre for Integrative Biodiversity Research (iDiv)
• Co-spokesperson for NFDI4Earth
• Principal Investigator in the Centre for Scalable Data Analytics and Artificial Intelligence

Mahecha leads multiple significant research projects including Digital Forest (real-time forest monitoring), NFDI4BioDiversity (biodiversity data infrastructure), and XAIDA (AI for detection and attribution of extreme events). His teaching portfolio covers fundamental and advanced topics in physical geography, Earth system components, and geospatial data analysis, reflecting his commitment to training the next generation of Earth system scientists.