Jeanette Reyes

PhD Candidate, 2011-present
Department of Environmental Sciences and Engineering
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7400

Room: 14 Rosenau Hall
Phone: (919) 966-1095 

Curriculum Vitae.

Research Interests


Space/time Geostatistics

Bayesian Statistics

Land Use Regression

Environmental Epidemiology

Air Quality Modeling

Large Data

Exposure Assessment

Risk Assessment

Impact Analysis





The University of North Carolina-Chapel Hill.                    

Ph.D., Expected 2016

Area: Environmental Sciences and Engineering

Advisor: Dr. Marc Serre


The University of North Carolina-Chapel Hill                                                                   

M.S., May 2011

Area: Environmental Sciences and Engineering

Advisor: Dr. Marc Serre

Thesis title: “Global Land Use Regression and Bayesian Maximum Entropy Spatiotemporal Estimation of PM2.5 Yearly Average Concentrations Across the United States”


Hendrix College, Conway, AR.

B.A., May 2008.

Area: Mathematics.               




NIEHS Graduate Trainee, UNC-CH                                                             Aug 2008-July 2013


Bayesian Maximum Entropy Laboratory                                                    August 2008-current

Gillings School of Global Public Health

Advisor: Marc Serre


EPA Student Services Contractor                                                              August 2012-current

Mentors: Ana Rappold, Lisa Baxter





Teaching Assistance  Fall 2015

·         Taught Four lectures for the graduate-level course entitled ‘Advanced Functions of Temporal GIS’ (ENVR 468) in the Environmental Sciences and Engineering department with an enrollment of 16 students.

·         Guided students through introductory and intermediate tutorials of the ArcGIS software.

·         Demonstrated to students how to find and display their own spatial data in a visually informative manner.

·         Graded students’ home works throughout the course.





EPA Student Contractor ORD/NHEERL/EPHD/CRB                                                     Aug 2014-current

·        Developed case-cross over study design for the evaluating risk of morbidity and mortality from Medicare data due to increased air pollution coming from wild fires.

·        Combined regulatory air quality modeling with wild fire data provided from multiple sources.

·        Displayed concentration of modeled air quality pollutant data provided from the Community Multi-scale Air Quality Model (CMAQ) around wild fire locations posing the highest risk to human health.


EPA Student Contractor ORD/NERHL/HEASD                                                       Oct 2012 – Aug 2014

·        Creating and maintaining a database of observed air pollution data with meteorological variables across the United States from 1985-2010.

·        Developing visual representations of data for communication and quality assurance purposes.

·        Involved in the study entitle “Multi-City/Multi-Pollutant”, investigating the link between air pollution exposure and different health outcomes across different large metropolitan areas in the United States.

·        Investigating the efficacy of merging modeled air pollutant sources to measure effects in epidemiological studies.

·        Extracting finely resoluted modeled meterological data using Unix style command prompt and condensing said data into a user-friendly format.

·        Merging of hourly PM2.5 across North Carolina with location information for investigating climate change throughout the area.

Evaluating Regionalized Air Model Performance                                                      Jan 2013 – current

·        Developed a model that incorporated both observed and modeled data into the BME method to estimate daily PM2.5 from 1999-2010.

·        Incorporated Regionalized Air Model Performance (RAMP) into the BME framework.

·        RAMP method accounts for the non-homogeneous characteristics of model performance in an localized manner.


Land Use Regression Incorporation into Bayesian Maximum Entropy                Dec 2009 – Jan 2014

·        Developed a large scale model to estimate PM2.5 yearly averaged concentrations across the United States from 1999-2009.

·        Incorporated a Land Use Regression (LUR) mean trend model into the Bayesian Maximum Entropy (BME) framework.

·        Integrated large databases (e.g. EPA’s Air Quality Systems, National Emissions Inventory, National Transportation Atlas Database).

·        Applied estimates to perform a risk assessment of attributable mortality due to PM2.5 exposure.     


Estimating Polycyclic Aromatic Hydrocarbons from PM2.5                                    Aug 2009 – current

·        Evaluated Polycyclic Aromatic Hydrocarbons (PAH) concentrations from PM2.5 across North Carolina for 2004.

·        Provided a novel geostatistical estimation approach to better estimate PAH

·        Bypassed costly PAH data collection methods by developing different methodologies for estimating PAH.


Exposure Estimation of PM2.5 and Diesel Exhaust Particles                                   July 2011 – current

·        Investigated the relationship between exposure to long-term PM2.5 and Diesel Exhaust Particles (DEP) and neurodegenerative diseases in women.

·        Examined different windows of exposure to determine the most biologically plausible exposure time.


Undergraduate Researcher, The University of Arizona                                                2007 May – July  

·        Worked with Dr. Paul Blowers in the department of Chemical and Environmental Engineering.

·        Predicted gas phase heat capacity and radiative forcing value for an emerging class of industrial chemicals.                 

Internship at University of Arkansas for Medical Science (UAMS)                         2006 May – August

·        Assisted Dr. Gal Shafirstein in the department of Otolaryngology - Head and Neck Surgery.

·        Preformed data analysis and data collecting for an ablation project using rabbit tumors.





First Authored Publications

Jeanette M. Reyes and Marc L. Serre. An LUR/BME Framework to Estimate PM2.5 Explained by on Road, Mobile and Stationary Sources, Environmental Science and Technology. 2014, 48 (3), pp 1736-1744.


Co-authored Publications

Xu Y, Serre ML, Reyes JM, Vizuete W. Bayesian Maximum Entropy Integration of Ozone Observations and Model Predictions: A National Application. Environ Sci Technol. 2016; submitted.


Casanova R, Xinhui W, Reyes J, Akita Y, Serre M, Vizuete W, Chui H, Driscoll I, Resnick S, Espeland M, Chen JC. A Voxel-Based Morphometry Study Reveals Local Brain Structural Alterations associated With Ambient Fine Particles in older women. Neurology. 2015; in preperation.


Crooks J, Neas L, Reyes JM, et al. The Association between Dust Storms and Daily Non-Accidental Mortality in the United States, 1993-2005. Environmental Health Perspectives. 2015; submitted.


Publications in Preparation

Reyes, J., H. Hubbard, J. Pleil, and M. L. Serre, Mass Fraction Estimation of PAH Across North Carolina. In preparation.





·         EPA AQS Conference, Colorado Springs, Colorado, USA. June 9-11 2010.

·         CITI Collaborative Institutional Training Initiative. January 2015. Human Research: Biomedical Research (Basic Course), Social and Behavioral Research (Basic Course), Research Involving Data and Specimens Only (Basic Course)



Relevant Coursework


·         Biostatistics: Principles of Experimental Analysis, Basic Elements of Probability and Statistical Inference I, Probability and Statistical Inference I, Probability and Statistical Inference II, Intermediate Statistical Methods;

·         Statistics: Applied Statistics I, Modern Bayesian Statistics;

·         Computer Science: Introduction to Scientific Programming;

·         Environmental Sciences and Engineering: Process Dynamics in Environmental Systems, Environmental Systems Modeling, Advanced Functions of Temporal GIS, Model-Based Exposure Mapping and Risk Assessment, Health Hazards of Industrial Operations, Environmental Exposure Assessment, Exposure Analysis;

·         Epidemiology: Fundamentals of Epidemiology




3.50 (with H=4.0, P=3.0, and L=2.0)

The UNC graduate school does not follow the traditional grading system. For more information, see the following site: Grade distribution breaks downs as follows: 14 H’s, 14 P’s, 5 S’s, 1 B+.





·         Reyes, J., 2015. Non-Linear Regionalized PM2.5 Community Multi-scale Air Quality Model Performance Evaluation, International Society of Exposure Science. Henderson, NV, USA. October.

·         Reyes, J., 2015. A Novel Approach to Characterizing Regionalized PM2.5 Community Multi-scale Air Quality Model Performance, Community Modeling and Analysis. Chapel Hill, NC, USA, October.

·         Reyes, J., 2015. Incorporating Model Performance Evaluation of PM2.5 Chemical Transport Models into a Geostatistical Framework. Spotlight on Student Research Poster Event, Poster Presentation. Chapel Hill, NC, US. April 16.

·         Reyes, J., 2015. Non-Parametric Regionalized Model Performance Evaluation of PM2.5 Chemical Transport Models. Academic Research Conference, Poster Presentation. Chapel Hill, NC, USA. March 4.

·         Reyes, J., 2014. Combining Observed PM2.5 with Regionalized Bias-Corrected Chemical Transport Models, International Society of Environmental Epidemiology Conference. Seattle, WA, USA. August 26.

·        Reyes, J., 2013. Two sources are better than one. Estimating PM2.5 from observed and modeled outputs, UNC ENVR 400: In-house Seminar Series – Fall 2013, Chapel Hill, NC, USA. October 2.

·        Reyes, J., 2012. Incorporating Mobile and Point Sources with General Knowledge to Estimate Yearly PM2.5, UNC-BMElab Seminar Series – Spring 2012, Chapel Hill, NC, USA. February 29.

·        Reyes, J., 2011. Using Land Use Regression as a Mean Trend in the Estimation of Yearly PM2.5 Across the United States, Interdisciplinary Environmental Health Research Symposia hosted by the UNC-CH Center for Environmental Health and Susceptibility, Poster Presentation, Chapel Hill, NC, USA. November 14.

·        Reyes, J., 2007. Using Density Functional Theory Calculations to Estimate Radiative Forcing and Heat Capacity of CH3OCHFCF3, REU Summer Program, hosted by The University of Arizona Department of Chemical and Environmental Engineering, Tucson, AZ, USA. July 27.



Invited presentations


·         Reyes, J., 2014. Evaluation and Blending of Regionalized CMAQ and Observed Data for Ambient PM2.5 Concentration, EPA-RTP Environmental Public Health Division Work in Progress Seminar. RTP, NC, USA. April 2.



Professional Activities




American Geophysical Union (AGU) 2015 – present

International Society of Exposure Science (ISES) 2015 – present

International Society of Environmental Epidemiology (ISEE) 2014 – present






Microsoft Office (Word, Excel, PowerPoint, Access), ArcGIS



Proficient in MATLAB, R

Proficient in UNIX shell scripting and LSF platform schedulers for batch computing

Some experience in SAS





·         Hispanic Scholarship Fund                                                                                                                           August 2015

·         NIEHS Graduate Trainee, The University of North Carolina – Chapel Hill                           Aug 2008 – July 2013

·         Anne Cynthia Price Travel Award, School of Public Health, UNC-CH                                                    August 2014