Mikael Kuusela

Mikael Kuusela is an Assistant Professor of Statistics and Data Science at Carnegie Mellon University. His research focuses on developing statistical methods for analyzing large and complex datasets in the physical sciences. He works in close collaboration with domain scientists on questions related to ill-posed inverse problems, spatio-temporal data, uncertainty quantification and statistical learning in climate science, oceanography, remote sensing and particle physics.