High dimensional data analysis, statistical and predictive modeling, and uncertainty quantification, with particular applications to climate science, as well as process-based modeling of the cryosphere.
Education
Ph.D., Applied Mathematics
University of Arizona
2013
Masters of Science, Applied Mathematics
University of Arizona
2008
Master of Arts, Mathematics
University of Pennsylvania
2005
Bachelors of Arts, Mathematics
New York University
2002
Positions
7/2018 - Present | Scientist
6/2016 - 6/2018 | Postdoctoral Research Associate
6/2009 - 8/2012 | Graduate Research Associate
Publications
Comeau, D., Zhao, Z., Giannakis, D., & Majda, A. J. (2017). Data-driven prediction strategies for low-frequency patterns of North Pacific climate variability. Climate Dynamics, 48(5), 1855-1872, doi:10.1007/s00382-016-3177-5.
Comeau, D., Kurtze, D. A., & Restrepo, J. M. (2016). A conceptual model of oceanic heat transport in the Snowball Earth scenario. Earth Systems Dynamics, 7(4), 937–951, doi: 10.5194/esd-7-937-2016.
Restrepo, J. M., Venkataramani, S., Comeau, D., & Flaschka, H. (2014). Defining a trend for time series using the intrinsic time-scale decomposition. New Journal of Physics, 16(8), 085004.
Hunke, E. C., & Comeau, D. (2011). Sea ice and iceberg dynamic interaction. Journal of Geophysical Research: Oceans, 116(C5).
