معرفی
Johan Lindström is a Senior Lecturer and Director of Studies in Mathematical Statistics at Lund University's Faculty of Engineering (LTH). He serves as a Researcher in MERGE (ModElling the Regional and Global Earth system), eSSENCE (e-Science Collaboration), and BECC (Biodiversity and Ecosystem services in a Changing Climate). He is also a Principal Investigator and Profile Area member in multiple initiatives, including LTH's Aerosols and LU's Nature-based Future Solutions. His research focuses on statistical methods for spatial data in climate and environmental applications, using Bayesian hierarchical models and computational techniques like MCMC, INLA, and Gaussian Markov Random Fields (GMRFs).
Key areas of expertise include computational methods for large datasets, spatial statistics, and applications to environmental modeling. Lindström has been recognized with the Excellent Teaching Practitioner (ETP) award in 2018. He has supervised six students and contributed to over 60 research outputs, including work on wave energy converters, Holocene land cover change, and statistical modeling of ecological systems.
Notable projects include the POLLENOMICS initiative, combining ancient DNA and paleo-pollen data to decode European farming history, and the ELLIIT Focus Period on Machine Learning for Climate Science. Lindström collaborates internationally and actively reviews PhD theses and organizes conferences, reflecting his leadership in both research and academic governance.
