Department of Environmental Sciences and Engineering
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7400
14 Rosenau Hall
Phone: (919) 966-1095
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.
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
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.
· 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)
· 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.
· 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.
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