Profile

Monica Jackson

Associate Professor
Department of Mathematics and Statistics

  • Monica Christine Jackson was born and raised in Kansas City, Missouri. She obtained a B.S. and M.S. degree in mathematics from Clark Atlanta University. She completed a PhD in applied mathematics and computational science from University of Maryland. After completing her degree at the University of Maryland, she was a post doctoral researcher at Emory University in the department of Biostatistics under the direction of Lance A. Waller. Currently, she is an Associate Professor of Statistics at American University. Her current research interest is in the areas of spatial statistics and disease surveillance with applications to developing, investigating methods for detecting cancer clusters, global clustering patterns, and developing simulation algorithms for spatially correlated data.
  • Degrees

    PhD, Applied Mathematics and Scientific Computation, University of Maryland MS, Applied Mathematics, Clark Atlanta University BS, Mathematics, Clark Atlanta University
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Partnerships & Affiliations

  • Regional Advisory Board for the Eastern North American Region of the International Biometrics Society.

    Member

  • American Statistical Association

    Member

  • Caucus for Women in Statistics

    Member

  • Institute of Mathematical Statistics

    Member

  • National Association of Mathematicians

    Member

Teaching

  • Fall 2014

    • STAT-202 Basic Statistics: Basic Statistics: Soc/Poly
    • Description

Scholarly, Creative & Professional Activities

Research Interests

Dr. Jackson main research areas of interest are in spatial statistics and disease surveillance.

Professional Presentations

       
  • National Cancer Institute, National Institute of Health. “Comparison of tests for global clustering and local cluster detection on data with global clustering pattern and outliers”. Bethesda, MD 03/08
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  • US Census Bureau. “Exploring Goodness-of-Fit and Spatial Correlation Using Components of Tango’s Index of Spatial Clustering”. Hyattsville, MD 03/07  
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  • National Cancer Institute, National Institute of Health. “Exploring Goodness-of-Fit and Spatial Correlation Using Components of Tango’s Index of Spatial Clustering”. Bethesda, MD 02/07
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  • Spelman College, Department of Mathematics seminar, “Statistical issues in disease clustering and surveillance”, Atlanta, GA 10/04 
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  • Eastern North American Region of the International Biometrics Society. Invited roundtable discussion leader, “Integrating the SAS certification into the Academic Teaching Environment”.  Washington, DC, 03/08
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  • University of Maryland, College Park, SPIRAL Program.  “Disease Clustering”.  College Park, MD  5/05
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  • Clark Atlanta University Fall Conference. “Building Careers: The legacy of Clark Atlanta University’s Mathematics Department. Atlanta, GA 10/08.
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  • Pomona College, Department of Mathematics seminar, “Statistical issues in disease clustering and surveillance”,  Claremont, CA 1/05
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  • Rochester Institute of Technology, Department of Mathematics and Statistics seminar, “Exploring goodness-of-fit and spatial correlation using components of Tango’s index of spatial clustering”. Rochester, NY 8/04
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  • Morehouse College, Department of Mathematics seminar “Applied Mathematics and its application to public health and disease surveillance”. Atlanta , GA , 3/04

Grants and Sponsored Research

       
  • National Institute of Health, National Cancer Institute.  Contract for project titled: “Comparison of Spatial Test for Global Clustering and Cluster Detection on data with varying Spatial Correlation Structure and Geographic Units.”  05/07-08/07

Selected Publications

       
  • Jackson, M.C. and Sellers, K.F. (2008). “Simulating discrete spatially correlated Poisson data on a lattice”. International Journal of Pure and Applied Mathematics, Volume 46, no. 1, pp 137-154.
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  • Jackson, M.C. and Waller, L.A. (2005).  “Exploring Goodness-of-fit and spatial correlation using components of Tango’s index of spatial clustering”.  Geographical Analysis, Volume37, no. 4, pp 371-382
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  • Russek-Cohen, E. and Jackson, M. Permutation Tests. (2002). Section on Statistical Theory in Encyclopaedia of Environmetrics.  Wiley (London): pp 1547-1549.
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  • Jackson, M.  Spatial data analysis for discrete data on a lattice. (2001). In G.N’Guerekata and A. Nkwanta, editors,  Contemporary MathematicsCouncil for African American Researchers in the Mathematical Sciences, volume IV, pp 53-58. American Mathematical Society, Providence, RI.

 

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