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.
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