Mikael Kuusela

Mikael Kuusela

Assistant Professor of Statistics and Data Science

Carnegie Mellon University


I am an Assistant Professor of Statistics and Data Science at Carnegie Mellon University. My research focuses on developing statistical methods for analyzing large and complex datasets in the physical sciences. I am particularly interested 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.

I work in close collaboration with physical scientists and have various ongoing collaborations with oceanographers working on Argo floats, with NASA scientists working on the OCO-2 mission and with particle physicists at CERN.

I coordinate the Statistical Methods for the Physical Sciences (STAMPS) Research Group at CMU together with Ann Lee. I also coordinate the Statistical Oceanography Working Group that started originally at SAMSI and is now hosted at CMU.

I am a Member of the CMS Experiment at CERN and a Core Member of the US CLIVAR Ocean Uncertainty Quantification Working Group.

For publications, see my Google Scholar page. For code and data, see my Github page.


  • Statistics in the physical sciences
  • Ill-posed inverse problems
  • Spatio-temporal statistics
  • Uncertainty quantification
  • Statistical learning


  • PhD in Statistics, 2016

    École Polytechnique Fédérale de Lausanne (EPFL)

  • MSc in Engineering Physics and Mathematics, 2012

    Aalto University

  • BSc in Engineering Physics and Mathematics, 2010

    Aalto University


  • mkuusela@andrew.cmu.edu
  • Carnegie Mellon University, Dept. of Statistics and Data Science, Pittsburgh, PA 15213
  • Office: Baker Hall 232C