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cv/cv.pdf

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cv/cv.tex

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@@ -581,20 +581,44 @@ \section{Research Support}
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\begin{outerlist}
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\item \textbf{CAREER: State space models for neural and behavioral data} \\
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Funding Agency: NSF \\
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Award Period: 08/01/2025 - 07/31/2030 \\
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Contact PI: S. Linderman \\
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\textit{Role: PI}
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\item \textbf{Dissecting a brain-wide circuit that identifies natural odors and assigns behavioral responses} \\
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Funding Agency: NIH \\
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Award Period: 12/01/2025 - 11/30/2030 \\
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Contact PI: A. Samuel (Harvard) \\
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\textit{Role: MPI}
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\item \textbf{Neural Dynamics, Neuropeptides and Social Behavior} \\
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Funding Agency: NIH \\
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Award Period: 12/01/2025 - 11/30/2030 \\
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Contact PI: D. Anderson (Caltech) \\
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\textit{Role: MPI}
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\item \textbf{The brain as a control center for other organs during aging} \\
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Funding Agency: NIH \\
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Award Period: 12/01/2025 - 11/30/2030 \\
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Contact PI: A. Brunet (Stanford) \\
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\textit{Role: MPI}
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\item \textbf{Rapid neuromodulatory control of network dynamics: reframing dopaminergic modulation of cortical-basal ganglia-thalamic circuits} \\
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Funding Agency: NIH \\
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Award Period: 07/01/2025 - 06/30/2030 \\
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Contact PI: S. R. Datta (Harvard Medical School) \\
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\textit{Role: MPI}
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\end{outerlist}
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\vspace{1em}
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\textit{Current Grants and Awards}
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\begin{outerlist}
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\item \textbf{CAREER: State space models for neural and behavioral data} \\
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Funding Agency: NSF \\
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Award Period: 08/01/2025 - 07/31/2030 \\
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Contact PI: S. Linderman \\
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\textit{Role: PI}
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\item \textbf{Understanding sensorimotor control through realistic neuro-biomechanical simulation} \\
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Funding Agency: NIH \\
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Award Period: 04/01/2024 - 03/31/2027 \\
@@ -746,32 +770,40 @@ \section{Research Support}
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\section{Teaching Experience}
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\begin{outerlist}
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\item \textbf{STATS305B: Applied Statistics II}, Stanford University \hfill{\small 2024,2025}\\
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\item \textbf{STATS305B: Applied Statistics II} \hfill{\small 2024,'25}\\
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Stanford University \\
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Instructor: Scott Linderman
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\item \textbf{STATS220/320: Machine Learning Methods for Neural Data Analysis}, Stanford University \hfill{\small 2021, '23, '25}\\
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\item \textbf{STATS320: ML Methods for Neural Data Analysis} \hfill{\small 2021, '23, '25}\\
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Stanford University\\
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Instructor: Scott Linderman
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\item \textbf{STATS305C: Applied Statistics III}, Stanford University \hfill{\small 2022,2023}\\
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\item \textbf{STATS305C: Applied Statistics III} \hfill{\small 2022,'23}\\
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Stanford University\\
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Instructor: Scott Linderman
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\item \textbf{STATS271/371: Applied Bayesian Statistics}, Stanford University \hfill{\small 2021}\\
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\item \textbf{STATS271/371: Applied Bayesian Statistics} \hfill{\small 2021}\\
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Stanford University\\
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Instructor: Scott Linderman
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\item \textbf{STATS215: Statistical Models in Biology}, Stanford University \hfill{\small 2020}\\
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\item \textbf{STATS215: Statistical Models in Biology} \hfill{\small 2020}\\
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Stanford University\\
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Instructor: Scott Linderman
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\item \textbf{CS229: Biology and Complexity}, Harvard University \hfill{\small 2015}\\
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\item \textbf{CS229: Biology and Complexity} \hfill{\small 2015}\\
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Harvard University\\
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Instructor: Leslie Valiant
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\item \textbf{CS228: Computational Learning Theory}, Harvard University \hfill{\small 2014}\\
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\item \textbf{CS228: Computational Learning Theory} \hfill{\small 2014}\\
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Harvard University\\
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Instructor: Leslie Valiant
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\item \textbf{CS281: Advanced Machine Learning}, Harvard University \hfill{\small 2013}\\
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\item \textbf{CS281: Advanced Machine Learning} \hfill{\small 2013}\\
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Harvard University\\
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Instructor: Ryan Adams
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\item \textbf{Columbia Advanced Machine Learning Seminar} \hfill{\small 2016-2017}\\
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web: \url{https://casmls.github.io}
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% \item \textbf{Columbia Advanced Machine Learning Seminar} \hfill{\small 2016-2017}\\
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% web: \url{https://casmls.github.io}
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\end{outerlist}
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\begin{outerlist}
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\item Julia Costacurta, Graduate Student, Stanford Electrical Engineering \hfill {\small 2021-2025}
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\\
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\textit{Currently: Visiting Assistant Professor of Statistics, Haverford College.}
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\item Noah Cowan, Graduate Student, Stanford Statistics \hfill {\small 2024-present}
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\item Etaash Katiyar, Graduate Student, Stanford Statistics \hfill {\small 2024-present}
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\item Dieterich Lawson, Graduate Student, Stanford Computer Science \hfill {\small 2020-2023} \\
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\textit{Currently: Research Scientist, Google.}
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\textit{Currently: Research Scientist, Google.}
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\item Hyun Dong Lee, Graduate Student, Stanford Computer Science \hfill {\small 2022-present} \\
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\textit{Co-advised with Prof. Emily Fox}
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\textit{Co-advised with Prof. Emily Fox}
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\item Alisa Levin, Graduate Student, Stanford Computer Science \hfill {\small 2022-present}
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\textit{Co-advised with Prof. Jaimie Henderson}
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\\
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\textit{Co-advised with Prof. Jaimie Henderson}
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\item Matthew MacKay, Graduate Student, Stanford Statistics \hfill {\small 2021-2023}
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\textit{Currently: Software Engineer, Anthropic}
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\\
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\textit{Currently: Software Engineer, Anthropic}
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\item Blue Sheffer, Graduate Student, Stanford Computer Science \hfill {\small 2019-2021}
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\textit{Currently: Founder, School of Song.}
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\\
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\textit{Currently: Founder, School of Song.}
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\item Jakub Sm\'{e}kal, Graduate Student, Stanford Applied Physics \hfill {\small 2024-present}
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\item Henry Smith, Graduate Student, Stanford Statistics \hfill {\small 2024-present}
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\item Jimmy Smith, Graduate Student, Stanford ICME \hfill {\small 2019-2024}
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\textit{Currently: Founding Scientist, Liquid AI}
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\\
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\textit{Currently: Founding Scientist, Liquid AI}
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\item Ian Christopher Tanoh, Graduate Student, Stanford Statistics \hfill {\small 2022-present}
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\item Libby Zhang, Graduate Student, Stanford Electrical Engineering \hfill {\small 2019-2025}
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\\
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\textit{Currently: Shanahan Postdoctoral Fellow, Allen Institute for Brain Science.}
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\item Yixiu Zhao, Graduate Student, Stanford Applied Physics \hfill {\small 2020-2025}
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\\
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\textit{Currently: Research Scientist, Basis Research Institute.}
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\end{outerlist}
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JAX Short Course on Machine Learning for Quantifying Behavior, Lecturer. \hfill {\small 2022-24}\\
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\item \textbf{Conference and Workshop Organization:} \\
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Program Committee, Comp. and Sys. Neuro. Conference (COSYNE) \hfill{\small 2022-2024} \\
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Co-Organizer, Statistical Analysis of Neural Data (SAND) Workshop \hfill{\small 2025} \\
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Program Committee, Bernstein Conference on Theoretical Neuroscience \hfill{\small 2024-25} \\
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Program Committee, Comp. and Sys. Neuro. Conference (COSYNE) \hfill{\small 2022-2024} \\
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Co-Organizer, The Dynamic Brain Wkshp. at COSYNE \hfill{\small 2025} \\
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Co-Organizer, ML Interp. for Scientific Discovery Wkshp. at ICML \hfill{\small 2020}\\
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Co-Organizer, Learning Meaningful Repr. of Life Wkshp. at NeurIPS \hfill{\small 2019}\\
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Co-Organizer, Automated Neuro-behavioral Analysis Wkshp at COSYNE \hfill{\small 2017}\\
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Co-Organizer, Discovering Structure in Neural Data Wkshp at COSYNE \hfill{\small 2014}
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\item \textbf{Conference Area Chair:} \\
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Neural Information Processing Systems (NeurIPS) \hfill{\small 2019-22}\\
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International Conference on Learning Representations (ICLR) \hfill{\small 2021}\\
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International Conference on Machine Learning (ICML) \hfill{\small 2021}\\
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Neural Information Processing Systems (NeurIPS) \hfill{\small 2019-25}\\
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International Conference on Learning Representations (ICLR) \hfill{\small 2021-23}\\
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International Conference on Machine Learning (ICML) \hfill{\small 2021-23}\\
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International Conference on Artificial Intelligence and Statistics (AISTATS) \hfill{\small 2021-23}
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\item \textbf{Journal and Conference Reviewing:} \\

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