Mikael Kuusela

Mikael Kuusela

Associate Professor of Statistics and Data Science

Carnegie Mellon University

Biography

I am an Associate 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 various NASA remote sensing missions and with particle physicists at CERN where I am a member of the CMS Experiment.

I am a co-founder and co-director of the Statistical Methods for the Physical Sciences (STAMPS) Research Center at CMU together with my colleague Ann Lee.

For publications, see my Google Scholar page.

Interests

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

Education

  • 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

Contact

  • mkuusela@andrew.cmu.edu
  • Carnegie Mellon University, Dept. of Statistics and Data Science, Pittsburgh, PA 15213
  • Office: Baker Hall 229B