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Emily Lei Kang

Contact Information Statistical and Applied Mathematical Sciences Institute (SAMSI) 19 T. W. Alexander Drive P.O. Box 14006 Research Triangle Park, NC 27709-4006 The Ohio State University Ph.D., Statistics · Advisor: Noel Cressie · Area of Study: Spatial and Spatio-Temporal Statistics M.S., Statistics Nankai University, Tianjin, China B.A., Finance Tianjin University, Tianjin, China B.S., Applied Mathematics Research Interests 09/2000­06/2004 09/2001­06/2004 Cell: (919) 564-9003 Office: (919) 685-9335 E-mail: [email protected] WWW: www.stat.osu.edu/~ lei 09/2004­12/2010

Education

· Spatial statistics and spatio-temporal statistics · Computation strategies in multiscale systems · Bayesian methodology and hierarchical modelling · Applications in environmental sciences and engineering · Statistical learning and kernel methods

Professional Experience

SAMSI and North Carolina State University Postdoctoral Fellow

12/2009­present

· Program on Space-time Analysis for Environmental Mapping, Epidemiology and Climate Change

Awards and Honors

· University Fellowship, The Ohio State University, 2004­2006 · Scholarship, Chinese Academy of Sciences, 2003 · Scholarship, Alumni Foundation of Tianjin University in America, 2002 · Scholarship for College Students in Science, Tianjin Municipal Government, 2001

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Teaching Experience

The Ohio State University Recitation Instructor · STAT 245: Introduction to Statistics & Data Analysis Grader · · · · STAT STAT STAT STAT 829: 428: 620: 427: Spatial Statistics Introduction to Probability and Statistics II Statistical Inference I Introduction to Probability and Statistics I Autumn Winter Autumn Autumn 2008 2006 2005 2005 Autumn 2007

Research Assistant Experience

The Ohio State University · Research Assistant for Noel Cressie in The Program in Spatial Statistics and Environmental Statistics (SSES) · Analyzing data from North American Regional Climate Change Assessment Program (NARCCAP) · Comparing splines and spatial random effects (SRE) models in one-dimensional space · Analyzing soil-sensing datasets from gamma-radiometer readings in fields of the Nowley Farm in Australia · Revising and maintaining the SSES website

Internship Experience

The National Center for Atmospheric Research (NCAR) · Intern with Stephan R. Sain, Boulder, CO, 06/2008­09/2008 Australian Commonwealth Scientific and Research Organization (CSIRO) · Intern with Richard Morton and Brent Henderson, Canberra, Australia, 06/2006­ 09/2006

Publications Refereed Articles · Cressie, N. and Kang, E. L. (2010). High-resolution digital soil mapping: Kriging for very large datasets, in Proximal Soil Sensing, eds R. Viscarra- Rossel, A. B. McBratney, and B. Minasny. Elsevier, Amsterdam, forthcoming. · Cressie, N., Shi, T., and Kang, E. L. (2010). Fixed rank filtering for spatiotemporal data, Journal of Computational and Graphical Statistics, forthcoming.. · Kang, E. L., Cressie, N., and Shi, T. (2010). Using temporal variability to improve spatial mapping with application to satellite data, Canadian Journal of Statistics, forthcoming. · Kang, E. L., Liu, D., and Cressie, N. (2009). Statistical analysis of small- area data based on independence, spatial, non-hierarchical, and hierarchical models. Computational Statistics and Data Analysis, 53, 3016-3032. · Morton, R., Kang, E. L., and Henderson, B. (2009). Smoothing splines for trend estimation and prediction in time series. Environmetrics, 20, 249-259. Unrefereed Article · Cressie, N. and Kang, E. L. (2008). Soil mapping using spatial statistics: Kriging for very large datasets, in Proceedings of First Global Workshop on High Resolution Digital Soil Sensing and Mapping, Vol. I, Sydney, Australia (14pp.). 2 of 4

Manuscripts · Kang, E. L. and Harlim, J. (2010) Filtering partially observed spatially extended chaotic dynamical systems with multiscale features. In preparation. · Kang, E. L. (2010). Spatial meta-analysis of very large datasets with spatial random effects models. In preparation. · Kang, E. L., Cressie, N., and Sain, S. R. (2010). Bayesian hierarchical models to combine outputs from the NARCCAP regional climate models. Submitted. · Kang, E. L. and Cressie, N. (2009). Bayesian inference for the spatial random effects model, Department of Statistics Technical Report 830, The Ohio State University, Columbus. Submitted. Talks and Presentations

· Invited presentation at the SAMSI Workshop on Statistical Aspects of Environmental Risk, RTP, April 2010; "Spatio-Temporal Random Effects Models for Very Large Datasets" · Invited presentation at the Bayesian Statistics Working Group (BSWG) at Department of Statistics in North Carolina State University, March 2010; "Bayesian Inference for the Spatial Random Effects Model" · Presentation at the postdoc seminar, SAMSI, March 2010; "Combine Regional Climate Model Outputs" · Presentation at the SAMSI Working Group on Computation, Visualization and dimension reduction in spatio-temporal modeling, SAMSI, January 2010; "Using Temporal Variability to Improve Spatial Mapping with Application to Satellite Data" · Presentation of a topic-contributed paper at the Joint Statistical Meetings, Washington, DC, August 2009; "Hierarchical Spatial Random Effects Model for Highresolution Data from Regional Climate Models" · Co-authored an invited paper (with Noel Cressie) at the Joint Statistical Meetings, Denver, CO, August 2008; "Space-time Random Effects Models" · Presentation at the 22nd Annual Edward F. Hayes Graduate Research Forum of The Ohio State University, April 2008; "Statistical Analysis of Small-Area Data Based on Independence, Spatial, Non-hierarchical, and Hierarchical Models" · Presentation of a topic-contributed paper at the Joint Statistical Meetings, Salt Lake City, August 2007; "Spatial Statistical Analysis of Doctors Prescription Amounts by Regions" · Presentation of a paper (with Richard Morton and Brent Henderson) at a joint seminar with CSIRO and the Australian National University, Canberra, Australia, August 2006; "Choosing Smoothing Parameters for Spline Prediction Models with Correlated Errors"

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Workshops · Institute for Pure & Applied Mathematics (IPAM) Workshop, "Simulation Hierarchies for Climate Modeling", University of California, Los Angeles, CA, May 3­7, 2010 · SAMSI Workshop, "Statistical Aspects of Environmental Risk", RTP, NC, April 7­9, 2010 · SAMSI Workshop, "Climate Change", RTP, NC, February 17­19, 2010 · American Institute of Mathematics (AIM) Workshop, "Careers in Academia", Palo Alto, California, December 7­10, 2009 · SAMSI Workshop, "Program on Space-time Analysis for Environmental Mapping, Epidemiology and Climate Change", RTP, NC, September 13­16, 2009 · Mathematical Biosciences Institute (MBI) Workshop, "Uncertainty in Ecological Analysis", The Ohio State University, Columbus, OH, April 3­6, 2006

Professional Affiliations

· American Statistical Association · Institute of Mathematical Statistics

Computing Skills

· Programming Matlab, Fortran, R, S-plus, SAS, C/C++ · Applications

A L TEX, Microsoft Office, and other common productivity packages for Windows, Apple OS X, and Linux platforms

· Operating Systems Microsoft Windows, Mac OS X, Linux and other UNIX variants References Available upon request

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