Gail E. PotterBiostatistician
The EMMES Corporation
401 N. Washington St., Suite 700
Rockville, MD 20850
Phone: (301) 251-1161, x2826
Email: gpotter [at] emmes [dot] com
I am a biostatistician at the EMMES Corporation, a contract research organization focusing on statistical analysis of public health studies. Prior to joining EMMES, I was an Assistant Professor of Statistics at California Polytechnic State University (San Luis Obispo) for three years. I completed my PhD in statistics at the University of Washington in December 2010, followed by a postdoctoral research fellowship at the Fred Hutchinson Cancer Research Center in Seattle.
My research involves applications of social network analysis to questions in the social sciences and public health. I'm currently working on developing statistical models to analyze social networks in Senegal. I've studied the impact of social network structures on epidemic disease transmission and I've analyzed the social network properties of economic resource exchange in rural Malawi.
I enjoy interdisciplinary research. I completed a concentration in statistical demography through the Center for Statistics and the Social Sciences (CSSS), and I belong to the Center for Statistical and Quantitative Infectious Disease (CSQUID).
I am a returned Peace Corps Volunteer (Guinea, Nepal). My experience in Peace Corps continues to inform my passionate perspective on social justice.
Yang Yang, Jonathan D. Sugimoto, M. Elizabeth Halloran, Nicole E. Basta, Dennis L. Chao, Laura Matrajt, Gail Potter, Eben Kenah, Ira M. Longini, Jr. The Transmissibility and Control of Pandemic Influenza A (H1N1) Virus. (2009) Science, 326 (5953) p. 729 - 733
Web Applications created with Shiny and R
Maximum Likelihood Estimation. This app illustrates the concept of maximum likelihood estimation through the example of estimating a binomial proportion.
Robustness of ANOVA. This app allows the user to explore robustness of ANOVA to violation of the constant variance assumption and derive a rule of thumb for practitioners of statistics.
Sampling distributions. This app uses simulation to illustrate the concept of sampling distributions. Various population shapes and statistics (min, max, mean, median, quartiles, etc.) can be selected by the user.
These apps are part of the Cal Poly Shiny Series.
Senior Research Projects
Boudewijn Aasman (2015), Simulating the NBA playoffs using Logistic Regression and Random Forests.
Irvin Alcaraz (2015), Web Applications through RStudio's Shiny package. Three apps (links below) were created in this project and are part of the Cal Poly Shiny Series.
Correlation and Regression Game, in which the user guesses the correlation of simulated data, and guesses the intercept and slope of the least squares regression line;
Multiple Regression Visualization, in which various regression surfaces are visualized in three dimensions; and
Probability Distribution Viewer, which displays various probability distributions, p-values, and quantiles.
Kelly Johnson (2015), Using Shiny to Visualize Terrorism Data.
Helen Totterdell (2015), Developing Applets for Science Courses: a Data Science Capstone Project.
Jessica Watson (2015), A Statistical Analysis of Implicit Race Attitudes as Predictors of Vote in the 2008 U.S. Presidential Election.
Henry Bongiovi (2014), Simulating Influenza Transmission with Network Data.
Ciani Sparks (2013), Is Obesity Socially Contagious?
- Statistical Methods for Engineers, Spring 2015
- Statistical Computing with R (Spring 2013, Spring 2014, Fall 2014)
- Statistics II, Winter 2014 and Winter 2015
- Statistical Methods for Life Science Graduate Students, Fall 2013
- Probability and Statistics for Engineers and Scientists (Winter, 2013)
- Statistics for the Life Sciences (Fall 2012, Winter 2013, Fall 2013, Spring 2014, Fall 2014)
- Introduction to R for Social Scientists (2009, 2010, 2011, 2012)
- Math Camp for Social Scientists (2008, 2009, 2010, 2011)
- Dorothy M. Gilford Teaching Award (2008-2009)
- NSF-Funded GK-12 Fellowship (2007-2008)
- U.S. Peace Corps (Guinea, 1997-97; Nepal 1999-2001)