Jenise L. Swall

Associate Professor
Statistical Sciences & Operations Research
Virginia Commonwealth University

Professional interests

Statistics in environmental applications, statistical computing, statistical education, data science and analytics, Bayesian statistics

Professional experience

Virginia Commonwealth University, Statistical Sciences & Operations Research, Richmond, VA

Associate Professor, 2011-present
On leave, 2013-2015

Chegg, Inc., Santa Clara, CA

Senior Data Scientist, 2014

U.S. Environmental Protection Agency, Research Triangle Park, NC

Statistician, 2003-2011
Employed by EPA, 2008-2011
Assigned to EPA from National Oceanic and Atmospheric Administration, 2003-2008

Kenyon College, Mathematics & Statistics, Gambier, OH
Assistant Professor, 2001-2003

Los Alamos National Laboratory, Los Alamos, NM
Visiting Faculty Program, June 2002-July 2002

Duke University, Statistical Science, Durham, NC
Visiting Assistant Professor, 2000-2001

SAS Institute, Cary, NC
Assistant Applications Developer, 1996-1997


Duke University, Durham, NC

Ph.D. in Statistics and Decision Sciences, Dec. 1999
M.S. in Statistics and Decision Sciences, May 1996

Massachusetts Institute of Technology, Cambridge, MA
B.S. in Mathematics (applied emphasis), May 1994

Completed degree in three years.


Operating systems: Linux/UNIX, Windows, Mac OS
Programming languages: R, C, SAS, SQL, Python
Document preparation: LaTeX, Google Docs, Microsoft Office, HTML

Software products

  1. aqfig, R package for displaying air quality model output and monitoring data, includes contributions from Kristen Foley
    Available from the Comprehensive R Archive Network
  2. figdim, R package for specifying figure dimensions and preserving aspect ratios for publication-ready graphics
    Available at
  3. M3, R package for reading and manipulating air quality model output from Models3-formatted files
    Available from the Comprehensive R Archive Network


2011 Jeanne E. Griffith Mentoring Award

For the mentoring of junior staff in the federal statistical system

Awarded by the American Statistical Association, the Interagency Council on Statistical Policy, the Council for Excellence in Government, the Washington Statistical Society, the Social Statistics and Government Statistics Sections of the American Statistical Association, and the Council of Professional Associations on Federal Statistics.

2011 Collaboration Award

For contributing valuable statistical and programming expertise to projects within AMAD and across ORD in a positive and professional manner

Awarded by U.S. EPA's Atmospheric Modeling and Analysis Division.

2011 Special Achievement Award (team award)

For efforts to integrate and synthesize data and theory across multiple disciplines

Awarded by U.S. EPA's National Exposure Research Laboratory.

2008 Bronze Medal for Commendable Service (team award)

Through multi-office partnerships, completing a suite of products offering critical information on the effectiveness of the NOx SIP Call on air quality

Awarded by U.S. EPA's Office of Research and Development.

Selected publications

  1. Simon, H., Bhave, P. V., Swall, J. L., Frank, N. H., Malm, W. C., 2011. Determining the spatial and seasonal variability in OM/OC ratios across the U.S. using multiple regression. Atmospheric Chemistry and Physics, Vol. 11, 2933-2949. (abstract)
  2. Gronewold, A. D, Myers, L., Swall, J. L., Noble, R. T., 2011. Addressing uncertainty in fecal indicator bacteria inactivation rates. Water Research, Vol. 45, No. 2, 652-664. (abstract)
  3. George, B. J., Whitaker, D. A., Gilliam, R. C., Swall, J. L., Williams R. W., 2010. Relationship between PM2.5 collected at residential outdoor locations and a central site. Journal of the Air & Waste Management Association, Vol. 60, No. 9, 1094-1104. (abstract)
  4. Swall, J. L., Foley, K. M., 2009. The impact of spatial correlation and incommensurability on model evaluation. Atmospheric Environment, Vol. 43, No. 6, 1204-1217. (abstract)

A complete list is available through my Google Scholar profile.

Courses taught

Virginia Commonwealth University

STAT 212: Concepts of Statistics

STAT/MATH 309: Introduction to Probability Theory

STAT 321: Introduction to Statistical Computing

STAT 404: Introduction to Statistical Inference

SYSM 682: Systems Seminar II

Kenyon College

MATH 106: Elements of Statistics

MATH 206: Data Analysis

MATH 226: Design and Analysis of Experiments

MATH 336: Probability

MATH 436: Mathematical Statistics

Duke University

STA 103: Probability and Statistical Inference

STA 110B: Statistics and Data Analysis in Economics

STA 110A: Statistics and Data Analysis in the Social Sciences