Johanna Tamminen

Finnish Meteorological Institute

Johanna Tamminen defended her applied mathematics dissertation “Adaptive Markov chain Monte Carlo methods and uncertainty quantification in satellite remote sensing” at the University of Helsinki in 2004. Ever since, the satellite remote sensing has remained her key area of interest. In her research she has developed Bayesian methods and uncertainty quantification for computational inverse problems rising in satellite remote sensing of atmospheric composition, including air quality, greenhouse gases and emission estimation. Since 2018 she has hold the research professor position in atmospheric remote sensing at the Finnish Meteorological Institute (FMI) and, currently, she is also the head of Earth Observation Research Unit at the Space and Earth Observation Centre of FMI. As a member of FAME, Tamminen is looking forward for novel method development, breakthroughs in uncertainty quantification and AI, and inspiring collaboration with industry, authorities and decision-makers.

Photo: Oscar Lindell