Speaker
Description
Dr. 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 specializes in questions related to ill-posed inverse problems, spatio-temporal data, uncertainty quantification and statistical learning in climate science, oceanography, remote sensing and particle physics. He works in close collaboration with physical scientists and has various ongoing collaborations with oceanographers working on Argo floats, with NASA scientists working on the OCO-2 mission and with particle physicists at CERN. He obtained his PhD in Statistics in July 2016 from EPFL in Lausanne, Switzerland. He then moved to the US where he was a postdoc at the University of Chicago and at SAMSI before joining Carnegie Mellon in summer 2018. His BSc and MSc degrees are in Engineering Physics and Mathematics from Aalto University.
