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Chris Geoga

I am a statistician and applied mathematician with broad interests in statistical methodology and computing in the physical sciences. My primary interest is modeling complicated dependence structure in real-life temporal/spatial/spatio-temporal processes, and I'm particularly interested in theoretical questions that are motivated by computationally scalable methods and approximations. I have specific experience in the fields of maximum likelihood estimation for Gaussian processes, nonparametric spectral density estimation in one and several dimensions, nonstationary spatio-temporal modeling of micrometeorological processes, and some applications of signal processing and multiple testing strategies to the analysis of power systems.

I am currently a PhD student in the Department of Statistics at Rutgers University working with Michael Stein. Since August 2016, I have worked at Argonne National Laboratory under the supervision of Mihai Anitescu.

Statistics:

Applied Math:

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A short and incomplete list.

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