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\begin{document}

% --- HEADER ---
\begin{center}
{\LARGE\bfseries\color{accent} Dr.\ Jane A.\ Smith}\\[0.5em]
{\large Associate Professor of Computer Science}\\[0.3em]
Department of Computer Science, University of Example\\
123 University Ave, City, State 12345\\[0.3em]
\href{mailto:jsmith@university.edu}{jsmith@university.edu} \enspace\textbar\enspace
\href{https://janesmith.example.edu}{janesmith.example.edu} \enspace\textbar\enspace
\href{https://scholar.google.com}{Google Scholar}\\[0.2em]
ORCID: \href{https://orcid.org/0000-0000-0000-0000}{0000-0000-0000-0000}
\end{center}

% --- RESEARCH INTERESTS ---
\section{Research Interests}

Machine learning, natural language processing, computational linguistics, large language models, knowledge representation, information extraction.

% --- EDUCATION ---
\section{Education}

\cventry{Ph.D.\ in Computer Science}{2015--2019}{Stanford University, Stanford, CA}{Advisor: Prof.\ John Doe}
\textit{Thesis: ``Advances in Neural Methods for Natural Language Understanding''}

\cventry{M.S.\ in Computer Science}{2013--2015}{MIT, Cambridge, MA}{}

\cventry{B.S.\ in Mathematics, \textit{summa cum laude}}{2009--2013}{UC Berkeley, Berkeley, CA}{}

% --- ACADEMIC POSITIONS ---
\section{Academic Positions}

\cventry{Associate Professor}{2023--present}{University of Example, Department of Computer Science}{}

\cventry{Assistant Professor}{2019--2023}{University of Example, Department of Computer Science}{}

\cventry{Visiting Researcher}{Summer 2022}{Google Research, Mountain View, CA}{}

\cventry{Postdoctoral Fellow}{2018--2019}{Stanford NLP Group}{Advisor: Prof.\ Jane Advisor}

% --- PUBLICATIONS ---
\section{Publications}

\subsection{Journal Articles}

\publication{[J5] \textbf{Smith, J.A.}, Johnson, B., and Lee, C. (2024). ``Efficient Fine-Tuning of Large Language Models for Domain Adaptation.'' \textit{Journal of Machine Learning Research}, 25(1):1--35.}

\publication{[J4] Chen, D., \textbf{Smith, J.A.}, and Park, E. (2023). ``Scaling Laws for Transfer Learning in NLP.'' \textit{Transactions of the ACL}, 11:450--468.}

\publication{[J3] \textbf{Smith, J.A.} and Williams, R. (2022). ``A Survey of Knowledge-Enhanced Language Models.'' \textit{Artificial Intelligence Review}, 55(3):1890--1925.}

\publication{[J2] \textbf{Smith, J.A.}, Brown, T., and Davis, M. (2021). ``Neural Information Extraction from Scientific Text.'' \textit{Computational Linguistics}, 47(2):301--340.}

\publication{[J1] \textbf{Smith, J.A.} and Doe, J. (2019). ``Structured Prediction for Relation Extraction.'' \textit{JMLR}, 20(1):1--28.}

\subsection{Conference Papers}

\publication{[C8] \textbf{Smith, J.A.}, Kim, S., and Patel, R. (2024). ``Multi-Agent Collaboration for Code Generation.'' In \textit{Proceedings of NeurIPS 2024}. (Spotlight)}

\publication{[C7] Wang, L., \textbf{Smith, J.A.}, and Zhang, H. (2023). ``Reasoning with Retrieved Knowledge.'' In \textit{Proceedings of ACL 2023}, pages 2340--2355.}

\publication{[C6] \textbf{Smith, J.A.} and Chen, D. (2023). ``Prompt Engineering for Low-Resource Settings.'' In \textit{Proceedings of EMNLP 2023}, pages 890--905.}

\publication{[C5] \textbf{Smith, J.A.}, Lee, C., and Park, E. (2022). ``Contrastive Learning for Text Classification.'' In \textit{Proceedings of ICML 2022}, pages 5500--5515.}

\publication{[C4] Brown, T., \textbf{Smith, J.A.}, and Davis, M. (2021). ``Few-Shot Named Entity Recognition.'' In \textit{Proceedings of NAACL 2021}, pages 1234--1248.}

\publication{[C3] \textbf{Smith, J.A.} and Williams, R. (2020). ``Graph Neural Networks for Relation Extraction.'' In \textit{Proceedings of ACL 2020}, pages 3100--3112. \textbf{(Best Paper Award)}}

\publication{[C2] \textbf{Smith, J.A.}, Doe, J., and Lee, C. (2019). ``Attention Mechanisms for Information Extraction.'' In \textit{Proceedings of EMNLP 2019}, pages 1500--1512.}

\publication{[C1] \textbf{Smith, J.A.} and Doe, J. (2018). ``Structured Output Learning for NLP.'' In \textit{Proceedings of ACL 2018}, pages 2200--2210.}

\subsection{Workshop Papers and Preprints}

\publication{[W2] Patel, R. and \textbf{Smith, J.A.} (2024). ``Benchmarking LLM Agents on Scientific Tasks.'' \textit{arXiv:2401.12345}.}

\publication{[W1] \textbf{Smith, J.A.} (2022). ``Position Paper: Challenges in Evaluating Generative Models.'' In \textit{NeurIPS Workshop on Evaluation}.}

% --- GRANTS AND FUNDING ---
\section{Grants and Funding}

\noindent\textbf{NSF CAREER Award} \hfill 2022--2027\\
``Foundations of Knowledge-Enhanced Language Understanding'' \hfill \$600,000\par\vspace{0.3em}

\noindent\textbf{Google Research Scholar Award} \hfill 2023--2025\\
``Efficient Adaptation of Large Language Models'' \hfill \$75,000\par\vspace{0.3em}

\noindent\textbf{NIH R01 (Co-PI)} \hfill 2021--2025\\
``NLP Methods for Clinical Text Understanding'' \hfill \$1,200,000 (total)\par\vspace{0.3em}

\noindent\textbf{Amazon Research Award} \hfill 2020--2021\\
``Few-Shot Information Extraction'' \hfill \$80,000\par\vspace{0.3em}

% --- TEACHING ---
\section{Teaching}

\cventry{CS 680: Advanced Natural Language Processing}{Fall 2020--present}{Graduate seminar, 25--40 students per offering}{}

\cventry{CS 480: Introduction to Machine Learning}{Spring 2020--present}{Undergraduate lecture, 120--180 students per offering}{}

\cventry{CS 280: Data Structures and Algorithms}{Fall 2019}{Undergraduate lecture, 200 students}{}

% --- ADVISING ---
\section{Advising}

\subsection{Current Ph.D.\ Students}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item Alice Johnson (2022--present): Multi-agent systems for code generation
    \item Bob Chen (2021--present): Knowledge-grounded dialogue systems
    \item Carol Park (2020--present): Low-resource NLP, expected graduation 2025
\end{itemize}

\subsection{Graduated Ph.D.\ Students}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item David Lee (Ph.D.\ 2024) $\to$ Research Scientist, Google DeepMind
    \item Emily Zhang (Ph.D.\ 2023) $\to$ Assistant Professor, UC San Diego
\end{itemize}

\subsection{M.S.\ Students Advised}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item 8 M.S.\ thesis students (2019--present)
\end{itemize}

% --- AWARDS AND HONORS ---
\section{Awards and Honors}

\begin{tabularx}{\textwidth}{lX}
2024 & Outstanding Faculty Research Award, University of Example \\
2023 & Best Reviewer Award, ACL 2023 \\
2022 & NSF CAREER Award \\
2020 & Best Paper Award, ACL 2020 \\
2019 & Stanford CS Distinguished Dissertation Award \\
2013 & Valedictorian, UC Berkeley Mathematics \\
\end{tabularx}

% --- SERVICE ---
\section{Professional Service}

\subsection{Editorial Roles}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item Action Editor, \textit{Transactions of the ACL} (2023--present)
    \item Editorial Board, \textit{Journal of NLP} (2021--present)
\end{itemize}

\subsection{Conference Organization}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item Area Chair: ACL 2024, EMNLP 2023, NeurIPS 2023
    \item Workshop Co-organizer: ``LLMs in Practice'' at ICML 2024
    \item Senior Program Committee: AAAI 2022, IJCAI 2021
\end{itemize}

\subsection{Reviewing}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item Program Committee: ACL, EMNLP, NeurIPS, ICML, ICLR, AAAI (2019--present)
    \item Journal Reviewer: JMLR, TACL, AI Journal, CL
\end{itemize}

\subsection{Department Service}
\begin{itemize}[itemsep=0.2em, leftmargin=1.5em]
    \item Graduate Admissions Committee (2021--2023)
    \item Curriculum Committee (2020--present)
    \item Faculty Search Committee, NLP position (2023)
\end{itemize}

% --- INVITED TALKS ---
\section{Invited Talks (Selected)}

\begin{tabularx}{\textwidth}{lX}
2024 & ``The Future of AI Agents'' -- Google Research Colloquium \\
2024 & ``Knowledge-Enhanced LLMs'' -- MIT CSAIL Seminar \\
2023 & ``Efficient Fine-Tuning'' -- NeurIPS Workshop Keynote \\
2023 & ``NLP for Science'' -- Allen Institute for AI \\
2022 & ``Few-Shot Learning in NLP'' -- Stanford NLP Seminar \\
\end{tabularx}

% --- REFERENCES ---
\section{References}

Available upon request.

\end{document}
