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Page title: Chris Geoga
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<title>Chris Geoga</title>
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<h1>
Chris Geoga
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<p>
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.
</p>
<h2>Education:</h2>
<ul>
<li>
Ph.D. Statistics, Rutgers University (2018 – 2023)
</li>
<ul>
<li>
Dissertation: Models and Computation for Nonstationary Processes at Scale
<br>
Adv. Michael L. Stein
</li>
</ul>
<li>
B.S. Mathematics / B.A. Statistics, University of Chicago (2012 – 2016)
</li>
</ul>
<h2>Employment:</h2>
<ul>
<li>
University of Wisconsin-Madison, Dept. of Statistics
</li>
<ul>
<li>
Assistant Professor (2023 – )
</li>
</ul>
<li>
Argonne National Laboratory, Division of Mathematics and Computer Science
</li>
<ul>
<li>
Visiting Student (2022 – 2023)
</li>
<li>
Argonne Associate (2018 – 2022)
</li>
<li>
Assistant Computational Mathematician (RD1) (2016 – 2018)
</li>
</ul>
</ul>
<h2>Publications:</h2>
<p>
Clicking on the title of the paper will take you to ArXiv or some other direct
PDF source, and the DOI link will take you to the official journal version.
Direct PDF links marked (ArXiv vXXX) mean that the ArXiv version differs from
the journal version somehow. I try to do a good job about uploading substantial
revisions to arXiv, so the differences are in general limited to small revisions
that don't really change the substance of the paper very much. But if you want a
journal version and can't get access, please shoot me a note and I'll send one
over.
</p>
<p>
You can also see my publications on My <a
href="https://scholar.google.com/citations?user=L24G8isAAAAJ&hl=en&oi=ao">
google scholar </a> profile. <span style="color:maroon;">Authors in maroon</span>
are/were graduate students working with me at the time of initial submission.
</p>
<ul>
<li>
<span style="color:maroon;">H. Xiong</span>, P. Muradyn, and <strong>C.J. Geoga</strong>. <a href="https://arxiv.org/abs/2512.04217"> High-Resolution Retrieval of Atmsopheric Boundary Layers with Nonstationary Gaussian Processes</a>.
Submitted.
</li>
<li>
<strong>C.J. Geoga</strong>, P.G. Beckman. <a href="https://arxiv.org/abs/2503.00492"> Fast nonparametric spectral density estimation from irregularly sampled data</a>.
Submitted.
</li>
<li>
P.G. Beckman, <strong>C.J. Geoga</strong>.
<a href="https://arxiv.org/abs/2404.19053">Fast Adaptive Fourier
Integration for Spectral Densities of Gaussian Processes</a>.
Statistics and Computing. <a href="https://doi.org/10.1007/s11222-024-10519-0">DOI link</a>.
</li>
<li>
<strong>C.J. Geoga</strong>.
<a href="https://arxiv.org/abs/2404.16583">Fast Machine-Precision Spectral
Likelihoods for Stationary Time Series</a>, SISC. <a href="https://doi.org/10.1137/24M1660632">DOI link</a>.
</li>
<li>
<strong>C.J. Geoga</strong>, M.L. Stein.
<a href="https://arxiv.org/abs/2208.06877">A Scalable Method to Exploit
Screening in Gaussian Process Models with Noise</a> (Arxiv v2).
Journal of Computational and Graphical Statistics.
<a href
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