Seung-Jae Lee
UNC BMElab Visiting Scholar,
1/1/2011 – 12/31/2011
Department of Environmental Sciences
and Engineering
University of North Carolina at Chapel Hill
Chapel Hill, NC 27599-7431
email: seungjae.lee@alumni.unc.edu
Seung-Jae Lee
Assistant Researcher
Environmental Health Sciences Division
School of Public Health
University of California, Berkeley
710 University Hall
Berkeley, CA 94720, USA
env.modeler
at gmail.com
Education
Dissertation: “Models of Soft Data in Geostatistics and Their
Application in Environmental and Health Mapping” under Dr. Marc L. Serre
Minor:
Statistics.
Work Experience
Assistant
Researcher (2011-present)
School of Public Health, University
of California, Berkeley, CA, USA
Environmental
Engineer - Postdoctoral Researcher III (March,
2008 - 2010)
Strategic Energy Analysis Center,
National Renewable Energy Laboratory, Golden, CO, USA
Adjunct
Professor (October, 2006-February,
2008)
School of Geographical Sciences,
Arizona State University, Tempe, AZ, USA
Postdoctoral
Research Associate (March, 2006-February,
2008)
Decision Center for a Desert City,
Arizona State University, Tempe, AZ, USA
Postdoctoral
Research Associate (January, 2006-Feburary,
2006)
University of North Carolina at
Chapel Hill, Chapel Hill, NC, USA
Research
Assistant (January, 2002-December,
2005)
University of North Carolina at
Chapel Hill, Chapel Hill, NC, USA
Research Interests
- Space/Time
Modeling under Uncertain Environments
- Modern
Geostatistics and Space/Time Statistics
- Temporal
GIS and Numerical Development of Advanced Mapping Functions
- Temporal
GIS-Based Decision-Support Tools for Integrated Decision Making
- Environmental
Exposure Mapping and Risk Assessment
- Environmental/Geographical
Epidemiology
- Infectious
Disease Mapping
- Medical
Geography
Honors and Awards
- The Rotary Foundation Scholar
(2001-2002).
- Dean’s
List, Department of Environmental Engineering, Korea University
(September, 1998).
Publications
- Lee, S.J.*, E.A. Wentz, and P. Gober (2010) Space-Time Forecasting Using Soft
Geostatistics: A Case Study in Forecasting Municipal Water Demand for
Phoenix, Arizona, Stochastic Environmental Research and Risk Assessment,
24: 283-295, doi:10.1007/s00477-009-0317-z
- Lee, S.J., K.B. Yeatts, and M.L. Serre (2009) A
Bayesian Maximum Entropy Approach to Address the Change of Support Problem
in the Spatial Analysis of Childhood Asthma Prevalence across North
Carolina, Spatial and Spatio-Temporal
Epidemiology, 1: 49-60, doi:10.1016/j.sste.2009.07.005
- Lee,
S.J.,
E.A. Wentz, and P. Gober (2008) Applying
Bayesian Maximum Entropy to Extrapolating Local Water Consumption in
Maricopa County, Arizona, Water Resources Research, Vol. 43,
doi:10.1029/2007WR006101.
- Lee,
S.J.,
R. Balling, and P. Gober (2008) Bayesian Maximum
Entropy Mapping and the Soft Data in Urban Climate Research, Annals of
the Association of American Geographers, scheduled for publication in
the June 2008 issue.
- Brazel, A., P. Gober, S.J. Lee,
S. Grossman-Clarke, J. Zehnder, B. Hedquist, and E. Comparri
(2007) Determinants of Changes in the Regional Urban Heat Island in
Metropolitan Phoenix (Arizona, USA) between 1990 and 2004, Climate
Research, Vol. 33: 171-182.
- Serre,
M.L., S.J. Lee, and K. Yeatts (2006) Accounting for the Observation
Scale of Confidential Health Data to Study the Spatial Association between
Childhood Asthma Prevalence and Air Pollutants in North Carolina, Epidemiology
17(6): S288-S288.
- Serre,
M.L, and S.J. Lee (2006) Risk Mapping of Subsurface Arsenic in New
England using Measurement Error Model and Secondary Soil-pH Data, Eric Pirard et. al., editors, Proceedings of IAMG
2006-XIth International Congress for Mathematical Geology, ISBN
978-2-9600644-0-7
- Lee, S.J. (2005) Models of Soft Data in Geostatistics and Their Application
in Environmental and Health Mapping, Ph.D. Dissertation, Dept. of
Environmental Sciences and Engineering, University of North Carolina at
Chapel Hill, NC, USA.
- Lee, S.J., M.L. Serre and G. Christakos
(2005) Bayesian
Maximum Entropy Mapping of Arsenic using pH-Arsenic Empirical Laws, ESE Research Notes, Department of Environmental Sciences and
Engineering, University of North Carolina, Chapel Hill, USA, Vol.
2(1):8-15.
- Lee, S.J. (2004) Estimating Arsenic Levels
in New England’s Groundwater, Superfund Scoop Newsletter, Superfund
Basic Research Program-UNC Center, Chapel Hill, USA, (4):4-4.
- Serre,
M.L., G. Christakos, and S.J. Lee (2004) Soft Data Space/Time
Mapping of Coarse Particulate Matter Annual Arithmetic Average over the
U.S., in Sanchez-Vila, X., J. Carrera, and J. J.
Gomez-Hernandez, editors, geoENV IV
- Geostatistics for Environmental Applications, Kluwer
Academic Publishers, Dordrecht, Vol. 1: 115-126.
Presentations
·
Lee, S.J., Training Session for Geostatistical Analysis, National
Renewable Energy Laboratory, Golden, Colorado, USA, July 1, 2010
·
Lee, S.J., R. George, and B. Bush, Analytic Science for
Geospatial and Temporal Variability in Renewable Energy and Energy Efficiency
(FY 10), Laboratory Directed Research &Development (LDRD) Poster
Session, National Renewable Energy Laboratory, Golden, Colorado, USA, June
16, 2010
·
Lee, S.J., D. Heimiller, G. Porro, N. Blair, A. Lopez, Energy Efficiency Potential Mapping,Presented for the U.S. Department of Energy’s
Energy Efficiency & Renewable Energy program, Golden, CO &
Washington, DC, USA, March 11, 2010
·
Lee, S.J., R. George, and B. Bush, Blending Estimating Solar PV
Output Using Modern Space/Time Geostatistics, The 2009 Colorado Renewable
Energy Conference, Golden, Colorado, USA, August 28-30, 2009
·
Lee, S.J., Geostatistics: What Is It and What Can It Do for You?, Invited to Special Strategic Analysis Center (SEAC)
Seminar, National Renewable Energy Laboratory, Golden, Colorado,USA, July 15, 2009
·
Lee, S.J., D. Heimiller, G. Porro, and N. Blair, Electricity and Gasoline Consumption
by Sector, 2009 ESRI International User Conference, San Diego, CA, July
13-17, 2009
·
Lee, S.J., R. George, and B. Bush, Analytic Science for
Geospatial and Temporal Variability in Renewable Energy and Energy Efficiency
(FY 09), Laboratory Directed Research & Development (LDRD) Poster
Session, National Renewable Energy Laboratory, Golden, Colorado, USA, June
15, 2009
· Lee, S.J.,
D. Heimiller, G. Porro, and
N. Blair, Mapping Electricity Consumption and Efficiency Potential, Presented
for the U.S. Department of Energy’s Energy Efficiency &Renewable Energy
program, Golden, CO, USA, February 24, 2009
- Lee,
S.J.,
E. A. Wentz, and P. Gober, Extrapolation Mapping
of Water Demand: Case Study Using Historical Water Use Data in Phoenix,
Arizona, The European Geosciences Union 2008 General Assembly,
Vienna, Austria, April 13-18, 2008
- Lee,
S.J.,
and E.A. Wentz, Spatial Extrapolation Mapping Based on Aggregated Data:
Countywide Extrapolation of Phoenix Water Use Data, Central
Arizona-Phoenix Long-Term Ecological Research 10th Annual Poster Symposium,
Tempe, Arizona, USA, January 10, 2008
- Lee,
S.J.,
E. A. Wentz, and P. Gober, Temporal Geographic
Information System (TGIS) to Forecast Future Water Consumption in Phoenix,
Arizona, Central Arizona-Phoenix Long-Term Ecological Research 10th
Annual Poster Symposium, Tempe, Arizona, USA, January 10, 2008
- Lee,
S.J., R.
Balling, and P. Gober, A Soft Geostatistical
Application in Urban Climate Research, Central Arizona-Phoenix
Long-Term Ecological Research 9th Annual Poster Symposium, Tempe,
Arizona, USA, January 10, 2007.
- Serre,
M.L. and S.J. Lee, Risk Mapping of Subsurface Arsenic in New
England using Measurement Error and Secondary Soil-pH Data, XIth International Congress for Mathematical
Geology, abstract accepted for oral presentation, Liege, Belgium,
September 3-8, 2006.
- Serre,
M.L., S.J. Lee, and K. Yeatts, Accounting for the Observation Scale
of Confidential Health Data to Study the Spatial Association between
Childhood Asthma Prevalence and Air Pollutants in North Carolina, International
Conference on Environmental Epidemiology & Exposure, abstract
accepted for presentation, Paris, France, September 2-6, 2006.
- Lee,
S.J.
and M.L. Serre, Modeling the uncertainty associated with the observation
scale of space/time natural processes, American Geophysical Fall
Meeting, San Francisco, California, USA, December 05-09, 2005.
- Serre,
M.L., S.J. Lee, E. Money, and Y. Akita, Integrating Multiple Source
Data Uncertainty for Spatiotemporally Distributed Hydrological Systems,
American Geophysical Fall Meeting, San Francisco, California, USA, December 05-09, 2005.
- Lee,
S.J.,
Soft Geostatistics and Its Application to Mapping Arsenic in New England
Groundwater, invited to In-House Seminar Series, Department
of Environmental Sciences and Engineering, University of North Carolina at
Chapel Hill, September 21, 2005.
- Yeatts, K.B., S.J. Lee, and M.L. Serre,
Spatial Distribution of Wheezing Prevalence and Airborne Lead Levels
Across Rural and Urban Areas of North Carolina, Seventeenth Conference
of the International Society for Environmental Epidemiology,
Johannesburg, South Africa, September 13-16, 2005.
- Lee,
S.J., M.L. Serre, and G. Christakos, Integrating Information about
Measurement Errors to Provide Informative groundwater Arsenic Maps in New
England, Annual Conference of the Water Resources Research Institute of
North Carolina, Raleigh, NC, USA, April 5, 2005.
- Yeatts, K.B., M.L. Serre, and S.J. Lee,
Spatial Distribution of Wheezing Prevalence and Air Pollution across North
Carolina, Sixteenth Conference of the International Society for
Environmental Epidemiology, New York City, NY, USA, August 1-4, 2004.
- Lee, S.J., M.L. Serre, and G. Christakos, Improving Spatial Mapping of Subsurface
Arsenic Using pH Data: Synthetic Examples and Case
Study in New England Groundwater, Computational Methods in Water
Resources International Conference, Chapel Hill, North Carolina
USA, June 13 - 17, 2004.
- Lee, S.J., M.L. Serre, and G. Christakos,
Integrating Soil pH as a Risk Factor in the Spatial Mapping of Arsenic
Distributions in New England Groundwater, abstract and poster presentation
at the Superfund Basic Research Program Annual Meeting: Integrating Perspectives, Dartmouth College, Hanover, NH, USA,
November 9-12, 2003.
- Serre,
M.L., S.J. Lee, and H.L. Yu, Toxicokinetic
Modeling Using Space/Time Mapping of Exposure Fields with Existing Health
Outcome Data in a Measurement Error Model, External Advisory Committee
meeting of the Center of Environmental Health and Susceptibility at UNC -
Pilot Project Program, September 12, 2002.
- Serre,
M.L., G. Christakos, and S.J. Lee, Soft Data Space/Time Mapping of
Coarse Particulate Matter Annual Arithmetic Average over the U.S., Oral
presentation for the Fourth International conference of Geostatistics
for Environmental Applications,
Barcelona, Spain, November 27-29, 2002.
Peer-Reviewing
Service
- Reviewed three manuscripts submitted to Journal of
Stochastic Environmental Research &Risk Assessment (2006, 2008,
and 2009)
- Reviewed one manuscript submitted to Geologos
(2008)