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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, 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, advised by Rong Chen. 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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