Scholars@Duke

• Background
• 

  Education, Training, & Certifications

  • Ph.D., University of California - Los Angeles 2012
  • M.S., University of California - Los Angeles 2008
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  Previous Appointments & Affiliations

  • Assistant Professor of the Practice of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2015 - 2022
  • Instructor in the Department of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2014 - 2015
  • Instructor of Statistical Science, Statistical Science, Trinity College of Arts & Sciences 2012
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  Academic Positions Outside Duke

  • Lecturer in Statistics and Data Science, University of Edinburgh. 2019 - 2021
• Publications & Artistic Works
• 

  Selected Publications

  • Academic Articles

    • Poulsen, J. R., C. Beirne, C. Rundel, M. Baldino, S. Kim, J. Knorr, T. Minich, et al. “Long Distance Seed Dispersal by Forest Elephants.” Frontiers in Ecology and Evolution 9 (December 22, 2021). https://doi.org/10.3389/fevo.2021.789264.
       Full Text  Open Access Copy
    • Çetinkaya-Rundel, Mine, Johanna Hardin, Benjamin S. Baumer, Amelia McNamara, Nicholas J. Horton, and Colin Rundel. “An educator's perspective of the tidyverse,” August 7, 2021.
       Open Access Copy  Link to Item
    • Beckman, M. D., M. Çetinkaya-Rundel, N. J. Horton, C. W. Rundel, A. J. Sullivan, and M. Tackett. “Implementing Version Control With Git and GitHub as a Learning Objective in Statistics and Data Science Courses.” Journal of Statistics and Data Science Education 29, no. S1 (January 1, 2021): S132–44. https://doi.org/10.1080/10691898.2020.1848485.
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    • Johnson, A., C. Rundel, J. Hu, K. Ross, and A. Rossman. “Teaching an Undergraduate Course in Bayesian Statistics: A Panel Discussion.” Journal of Statistics Education 28, no. 3 (January 1, 2020): 251–61. https://doi.org/10.1080/10691898.2020.1845499.
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    • Beirne, C., C. L. Nuñez, M. Baldino, S. Kim, J. Knorr, T. Minich, L. Jin, et al. “Estimation of gut passage time of wild, free roaming forest elephants.” Wildlife Biology 2019, no. 1 (January 1, 2019). https://doi.org/10.2981/wlb.00543.
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    • Çetinkaya-Rundel, M., and C. Rundel. “Infrastructure and Tools for Teaching Computing Throughout the Statistical Curriculum.” American Statistician 72, no. 1 (January 2, 2018): 58–65. https://doi.org/10.1080/00031305.2017.1397549.
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    • Rundel, C. W., E. M. Schliep, A. E. Gelfand, and D. M. Holland. “A data fusion approach for spatial analysis of speciated PM2.5 across time.” Environmetrics 26, no. 8 (December 1, 2015): 515–25. https://doi.org/10.1002/env.2369.
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    • Rundel, Colin W., Michael B. Wunder, Allison H. Alvarado, Kristen C. Ruegg, Ryan Harrigan, Andrew Schuh, Jeffrey F. Kelly, et al. “Novel statistical methods for integrating genetic and stable isotope data to infer individual-level migratory connectivity.” Molecular Ecology 22, no. 16 (August 2013): 4163–76. https://doi.org/10.1111/mec.12393.
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    • Bocanegra, Heike Thiel de, Daria Rostovtseva, Mine Cetinkaya, Colin Rundel, and Carrie Lewis. “Quality of reproductive health services to limited English proficient (LEP) patients.” Journal of Health Care for the Poor and Underserved 22, no. 4 (November 2011): 1167–78. https://doi.org/10.1353/hpu.2011.0120.
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    • Walker, David W., Julien Muffat, Colin Rundel, and Seymour Benzer. “Overexpression of a Drosophila homolog of apolipoprotein D leads to increased stress resistance and extended lifespan.” Current Biology : Cb 16, no. 7 (April 2006): 674–79. https://doi.org/10.1016/j.cub.2006.01.057.
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  • Conference Papers

    • Knox, M., C. Rundel, and L. Collins. “Sensor fusion for buried explosive threat detection for handheld data.” In Proceedings of Spie  the International Society for Optical Engineering, Vol. 10182, 2017. https://doi.org/10.1117/12.2263013.
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• Teaching & Mentoring
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  Recent Courses

  • STA 344: Introduction to the Statistical Modeling of Spatial and Time Series Data 2023
  • STA 523L: Programming for Statistical Science 2023
  • STA 644L: Statistical Modeling of Spatial and Time Series Data 2023
  • STA 663L: Statistical Computing and Computation 2023
  • STA 693: Research Independent Study 2023
  • STA 323D: Statistical Computing 2022
  • STA 344: Introduction to the Statistical Modeling of Spatial and Time Series Data 2022
  • STA 491: Independent Study 2022
  • STA 523L: Programming for Statistical Science 2022
  • STA 663L: Statistical Computing and Computation 2022
  • STA 693: Research Independent Study 2022
  • STA 491: Independent Study 2021
  • STA 523L: Programming for Statistical Science 2021
• Scholarly, Clinical, & Service Activities
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  Outreach & Engaged Scholarship

  • Bass Connections Faculty Team Leader. Mega-gardeners of Tropical Forests: Modeling Seed Dispersal by Forest Elephants. 2018 - 2019  2018 - 2019
  • Bass Connections Faculty Team Member. Modeling Tools for Energy Systems Analysis (MOTESA). August 2016 - May 2017  2016 - 2017

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