Academic CV

\documentclass[11pt,a4paper]{article}

\usepackage[utf8]{inputenc}
\usepackage[T1]{fontenc}
\usepackage{lmodern}
\usepackage[margin=1in]{geometry}
\usepackage{enumitem}
\usepackage{hyperref}
\usepackage{titlesec}
\usepackage{xcolor}
\usepackage{tabularx}
\usepackage{fancyhdr}

\definecolor{headerblue}{RGB}{0,51,102}

\titleformat{\section}{\large\bfseries\color{headerblue}\scshape}{}{0em}{}[\titlerule]
\titlespacing*{\section}{0pt}{12pt}{6pt}

\pagestyle{fancy}
\fancyhf{}
\rfoot{\thepage}
\renewcommand{\headrulewidth}{0pt}

\setlength{\parindent}{0pt}
\setlength{\parskip}{4pt}

\newcommand{\cventry}[4]{%
  \textbf{#1} \hfill #2 \\
  \textit{#3} \hfill \textit{#4} \\[4pt]
}

\begin{document}

\begin{center}
  {\LARGE\bfseries\color{headerblue} Dr.\ Sarah J.\ Mitchell} \\[6pt]
  {\large Associate Professor of Computer Science} \\[4pt]
  Department of Computer Science, Stanford University \\
  Gates Building, Room 256, Stanford, CA 94305 \\[4pt]
  \href{mailto:[email protected]}{[email protected]} \quad $\vert$ \quad
  (650) 723-4000 \quad $\vert$ \quad
  \href{https://sarahmitchell.cs.stanford.edu}{sarahmitchell.cs.stanford.edu}
\end{center}

\section{Research Interests}

Machine learning, natural language processing, computational linguistics, large-scale language models, few-shot and zero-shot learning, interpretable AI systems.

\section{Education}

\cventry{Ph.D.\ in Computer Science}{2012--2017}{Massachusetts Institute of Technology, Cambridge, MA}{Advisor: Prof.\ James R.\ Collins}
Dissertation: \textit{``Neural Approaches to Compositional Semantic Parsing''}

\cventry{M.S.\ in Computer Science}{2010--2012}{University of California, Berkeley, CA}{}

\cventry{B.S.\ in Mathematics and Computer Science}{2006--2010}{University of Michigan, Ann Arbor, MI}{Summa Cum Laude}

\section{Academic Appointments}

\cventry{Associate Professor}{2022--Present}{Stanford University, Department of Computer Science}{}

\cventry{Assistant Professor}{2017--2022}{Stanford University, Department of Computer Science}{}

\cventry{Postdoctoral Research Associate}{2016--2017}{Carnegie Mellon University, Language Technologies Institute}{}

\section{Selected Publications}

\begin{enumerate}[leftmargin=*,label={[\arabic*]}]
  \item \textbf{S.\ J.\ Mitchell}, A.\ Kumar, and R.\ Zhao. ``Compositional Generalization in Large Language Models via Structured Prompting.'' \textit{Proceedings of NeurIPS}, 2025.
  \item L.\ Chen, \textbf{S.\ J.\ Mitchell}, and P.\ Nguyen. ``Efficient Fine-Tuning of Multilingual Models with Adapter Layers.'' \textit{Journal of Machine Learning Research}, vol.\ 25, pp.\ 1--34, 2024.
  \item \textbf{S.\ J.\ Mitchell} and T.\ Yamamoto. ``Zero-Shot Cross-Lingual Transfer with Aligned Representations.'' \textit{Proceedings of ACL}, pp.\ 2341--2356, 2023.
  \item R.\ Patel, \textbf{S.\ J.\ Mitchell}, and K.\ O'Brien. ``Interpretable Attention Mechanisms for Document Classification.'' \textit{Proceedings of EMNLP}, pp.\ 1102--1115, 2022.
  \item \textbf{S.\ J.\ Mitchell}. ``Neural Compositional Semantic Parsing with Structural Constraints.'' \textit{Transactions of the ACL}, vol.\ 9, pp.\ 45--63, 2021.
  \item \textbf{S.\ J.\ Mitchell} and J.\ R.\ Collins. ``Learning Semantic Parsers from Denotations.'' \textit{Proceedings of ICML}, pp.\ 3892--3901, 2019.
\end{enumerate}

\section{Grants and Funding}

\begin{itemize}[leftmargin=*]
  \item NSF CAREER Award: ``Compositional Reasoning in Neural Language Models'' (\$600,000), 2021--2026.
  \item Google Faculty Research Award: ``Efficient Multilingual NLP'' (\$80,000), 2023.
  \item DARPA Young Faculty Award: ``Interpretable AI for Decision Support'' (\$450,000), 2020--2023.
  \item Amazon Research Award: ``Few-Shot Learning for Low-Resource Languages'' (\$100,000), 2022.
\end{itemize}

\section{Teaching}

\begin{itemize}[leftmargin=*]
  \item CS 224N: Natural Language Processing with Deep Learning \hfill Winter 2023, 2024, 2025
  \item CS 229: Machine Learning \hfill Fall 2021, 2022
  \item CS 330: Deep Multi-Task and Meta Learning \hfill Spring 2020, 2023
  \item CS 191W: Senior Project (Research Seminar) \hfill Ongoing
\end{itemize}

\section{Advising}

\textbf{Current Ph.D.\ Students:}
\begin{itemize}[leftmargin=*]
  \item Ananya Kumar (2022--present) --- Compositional generalization
  \item Marcus Li (2023--present) --- Multilingual representation learning
  \item Fatima Al-Rashid (2024--present) --- Interpretable language models
\end{itemize}

\textbf{Graduated Ph.D.\ Students:}
\begin{itemize}[leftmargin=*]
  \item Rui Zhao (2019--2024) --- Now Assistant Professor at University of Washington
  \item Priya Desai (2018--2023) --- Now Research Scientist at Google DeepMind
\end{itemize}

\section{Professional Service}

\begin{itemize}[leftmargin=*]
  \item Area Chair: NeurIPS (2023, 2024), ACL (2022, 2024), ICML (2023)
  \item Program Committee Member: AAAI, EMNLP, NAACL, ICLR (2018--present)
  \item Associate Editor: \textit{Computational Linguistics} (2023--present)
  \item Reviewer: JMLR, TACL, Nature Machine Intelligence
\end{itemize}

\section{Awards and Honors}

\begin{itemize}[leftmargin=*]
  \item Best Paper Award, ACL 2023
  \item MIT Technology Review Innovators Under 35, 2022
  \item NSF CAREER Award, 2021
  \item Outstanding Dissertation Award, MIT EECS, 2017
  \item Google Ph.D.\ Fellowship in Natural Language Processing, 2014--2016
\end{itemize}

\section{Invited Talks (Selected)}

\begin{itemize}[leftmargin=*]
  \item ``The Future of Compositional AI,'' Keynote at NAACL 2024, Mexico City, Mexico.
  \item ``Scaling Language Understanding,'' Google Research Colloquium, 2024.
  \item ``Interpretable NLP: From Attention to Explanation,'' Invited Talk at IJCAI 2023.
  \item ``Cross-Lingual Transfer Learning,'' Microsoft Research, Redmond, WA, 2022.
\end{itemize}

\end{document}