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% !TeX program = lualatex | ||
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\documentclass{wgu-cv} | ||
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\yourname{William G Underwood} | ||
\youraddress{ | ||
ORFE Department, | ||
Sherrerd Hall, | ||
Charlton Street, | ||
Princeton, | ||
NJ 08544, | ||
USA | ||
} | ||
\youremail{wgu2@princeton.edu} | ||
\yourwebsite{wgunderwood.github.io} | ||
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\begin{document} | ||
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\maketitle | ||
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\section{Employment} | ||
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\subsection{Postdoctoral Research Associate in Statistics} | ||
{Jul 2024 -- Jul 2026} | ||
\subsubsection{University of Cambridge} | ||
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\begin{itemize} | ||
\item Advisor: Richard Samworth, | ||
Department of Pure Mathematics and Mathematical Statistics | ||
\item Funding: European Research Council Advanced Grant 101019498 | ||
\end{itemize} | ||
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\subsection{Assistant in Instruction} | ||
{Sep 2020 -- May 2024} | ||
\subsubsection{Princeton University} | ||
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\begin{itemize} | ||
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\item | ||
ORF 499: | ||
Senior Thesis, | ||
Spring 2024 | ||
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\item | ||
ORF 498: | ||
Senior Independent Research Foundations, | ||
Fall 2023 | ||
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\item | ||
SML 201: | ||
Introduction to Data Science, | ||
Fall 2023 | ||
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\item | ||
ORF 363: | ||
Computing and Optimization, | ||
Spring 2023, Fall 2020 | ||
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\item | ||
ORF 524: | ||
Statistical Theory and Methods, | ||
Fall 2022, Fall 2021 | ||
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\item | ||
ORF 526: | ||
Probability Theory, | ||
Fall 2022 | ||
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\item | ||
ORF 245: | ||
Fundamentals of Statistics, | ||
Spring 2021 | ||
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\end{itemize} | ||
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\section{Education} | ||
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\subsection{PhD in Operations Research \& Financial Engineering} | ||
{Sep 2019 -- May 2024} | ||
\subsubsection{Princeton University} | ||
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\begin{itemize} | ||
\item Dissertation: | ||
Estimation and Inference in Modern Nonparametric Statistics | ||
\item Advisor: | ||
Matias Cattaneo, Department of Operations Research \& Financial Engineering | ||
\end{itemize} | ||
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\subsection{MA in Operations Research \& Financial Engineering} | ||
{Sep 2019 -- Sep 2021} | ||
\subsubsection{Princeton University} | ||
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\subsection{MMath in Mathematics \& Statistics} | ||
{Oct 2015 -- Jun 2019} | ||
\subsubsection{University of Oxford} | ||
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\begin{itemize} | ||
\item Dissertation: | ||
Motif-Based Spectral Clustering of Weighted Directed Networks | ||
\item Supervisor: | ||
Mihai Cucuringu, | ||
Department of Statistics | ||
\end{itemize} | ||
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\section{Research \& publications} | ||
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\subsection{Articles}{} | ||
\begin{itemize} | ||
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\item Uniform inference for kernel density estimators with dyadic data, | ||
with M D Cattaneo and Y Feng. | ||
\emph{Journal of the American Statistical Association}, forthcoming, 2024. | ||
\arxiv{2201.05967}. | ||
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\item Motif-based spectral clustering of weighted directed networks, | ||
with A Elliott and M Cucuringu. | ||
\emph{Applied Network Science}, 5(62), 2020. | ||
\arxiv{2004.01293}. | ||
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\item Simple Poisson PCA: an algorithm for (sparse) feature extraction | ||
with simultaneous dimension determination, | ||
with L Smallman and A Artemiou. | ||
\emph{Computational Statistics}, 35:559--577, 2019. | ||
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\end{itemize} | ||
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\subsection{Preprints}{} | ||
\begin{itemize} | ||
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\item Inference with Mondrian random forests, | ||
with M D Cattaneo and J M Klusowski, 2023. \\ | ||
\arxiv{2310.09702}. | ||
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\item Yurinskii's coupling for martingales, | ||
with M D Cattaneo and R P Masini. | ||
\emph{Annals of Statistics}, reject and resubmit, 2023. | ||
\arxiv{2210.00362}. | ||
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\end{itemize} | ||
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\pagebreak | ||
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\subsection{Works in progress}{} | ||
\begin{itemize} | ||
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\item Higher-order extensions to the Lindeberg method, | ||
with M D Cattaneo and R P Masini. | ||
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\item Adaptive Mondrian random forests, | ||
with M D Cattaneo, R Chandak and J M Klusowski. | ||
\end{itemize} | ||
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\subsection{Presentations}{} | ||
\begin{itemize} | ||
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\item Statistics Seminar, University of Pittsburgh, February 2024 | ||
\item Statistics Seminar, University of Illinois, January 2024 | ||
\item Statistics Seminar, University of Michigan, January 2024 | ||
\item PhD Poster Session, Two Sigma Investments, July 2023 | ||
\item Research Symposium, Two Sigma Investments, June 2022 | ||
\item Statistics Laboratory, Princeton University, September 2021 | ||
\end{itemize} | ||
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\subsection{Software}{} | ||
\begin{itemize} | ||
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\item MondrianForests: Mondrian random forests in Julia, 2023. \\ | ||
\github{wgunderwood/MondrianForests.jl} | ||
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\item DyadicKDE: dyadic kernel density estimation in Julia, 2022. \\ | ||
\github{wgunderwood/DyadicKDE.jl} | ||
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\item motifcluster: motif-based spectral clustering | ||
in R, Python and Julia, 2020. \\ | ||
\github{wgunderwood/motifcluster} | ||
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\end{itemize} | ||
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\section{Awards \& funding} | ||
\vspace{-0.22cm} | ||
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\begin{itemize} | ||
\item School of Engineering and Applied Science Award for Excellence, | ||
Princeton University | ||
\hfill 2022% | ||
\item Francis Robbins Upton Fellowship in Engineering, | ||
Princeton University | ||
\hfill 2019% | ||
\item Royal Statistical Society Prize, | ||
Royal Statistical Society \& University of Oxford | ||
\hfill 2019% | ||
\item Gibbs Statistics Prize, | ||
University of Oxford | ||
\hfill 2019% | ||
\item James Fund for Mathematics Research Grant, | ||
St John's College, University of Oxford | ||
\hfill 2017% | ||
\item Casberd Scholarship, | ||
St John's College, University of Oxford | ||
\hfill 2016% | ||
\end{itemize} | ||
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\section{Professional experience} | ||
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\subsection{Quantitative Research Intern} | ||
{Jun 2023 -- Aug 2023} | ||
\subsubsection{Two Sigma Investments} | ||
\vspace{-0.20cm} | ||
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\subsection{Machine Learning Consultant} | ||
{Oct 2018 -- Nov 2018} | ||
\subsubsection{Mercury Digital Assets} | ||
\vspace{-0.18cm} | ||
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\subsection{Educational Consultant} | ||
{Feb 2018 -- Sep 2018} | ||
\subsubsection{Polaris \& Dawn} | ||
\vspace{-0.20cm} | ||
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\subsection{Premium Tutor} | ||
{Feb 2016 -- Oct 2018} | ||
\subsubsection{MyTutor} | ||
\vspace{-0.20cm} | ||
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\subsection{Statistics \& Machine Learning Researcher} | ||
{Aug 2017 -- Sep 2017} | ||
\subsubsection{Cardiff University} | ||
\vspace{-0.20cm} | ||
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\subsection{Data Science Intern} | ||
{Jun 2017 -- Aug 2017} | ||
\subsubsection{Rolls-Royce} | ||
\vspace{-0.20cm} | ||
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\subsection{Peer review}{} | ||
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\emph{Econometric Theory, | ||
Journal of the American Statistical Association, | ||
Journal of Business \& Economic Statistics, | ||
Journal of Causal Inference, | ||
Journal of Econometrics, | ||
Operations Research.} | ||
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\section{References} | ||
\vspace{-0.22cm} | ||
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\begin{itemize} | ||
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\item | ||
Matias Cattaneo, | ||
Professor, | ||
ORFE, | ||
Princeton University | ||
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\item | ||
Jason Klusowski, | ||
Assistant Professor, | ||
ORFE, | ||
Princeton University | ||
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\item | ||
Jianqing Fan, | ||
Professor, | ||
ORFE, | ||
Princeton University | ||
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\item | ||
Ricardo Masini, | ||
Assistant Professor, | ||
Statistics, | ||
University of California, Davis | ||
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\end{itemize} | ||
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\end{document} |
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