Emily Kang , Ph.D., Stat

For more information, please visit the website of Kang's group: http://emilystat.wixsite.com/gdads

Ph. D.: The Ohio State University Columbus, 2009 (Statistics)

My research area is in methodology in spatial and spatio-temporal statistics, hierarchical statistical modeling in environmental, climate and public health sciences, and computational strategies in data assimilation for complicated multiscale systems. I have developed Bayesian and empirical Bayesian methods for large or even massive spatial and spatio-temporal datasets with applications in remote-sensing and uncertainty quantification for climate models, and have carried out research on climate sensitivity detection through fluctuation-dissipation theory.

03-2012 -05-2012 Research Fellow, Work in the Program on Uncertainty Quantification, Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, North Carolina

12-2009 -08-2011 Postdoctoral Fellow, Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, North Carolina

12-2009 -08-2011 Postdoctoral Fellow, North Carolina State University, Raleigh, North Carolina

09-2011 -08-2016 Assistant Professor, University of Cincinnati,

08-2016 -08-2021 Associate Professor, University of Cincinnati,

08-2017 -11-2017 Research Fellow , Work in the CLIM Program , Statistical and Applied Mathematical Sciences Institute (SAMSI), Research Triangle Park, North Carolina

08-2021 -To Present Professor, University of Cincinnati,

Grant: #JPL/NASA - A.37 Investigators:Kang, Lei 07-01-2022 -06-30-2025 NASA Headquarters Neighborhood-scale extreme humid heat health impacts Role:PI 0.00 Hold Level:Federal

Grant: #JPL 1684669 Investigators:Kang, Lei 09-01-2022 -08-31-2024 NASA Headquarters Ecological Projection Analytic Collaborative Framework (EcoPro) Role:PI 116678.00 Hold Level:Federal

08-2012 -08-2012 Travel Award, National Institute of Statistical Sciences (NISS) and the American Statistical Association (ASA) Writing Workshop for Junior Researchers Status:Recipient Level:National Type:Grant

2019 American Statistical Association’s Section on Statistics and the Environment (ENVR) Early Investigator Award This award is given in recognition of outstanding contribution to the development of methods, issues, concepts, applications and initiatives in environmental statistics. Status:Recipient Level:International Type:Non-Monetary

George Barbour Award for Good Faculty-Student Relations Status:Nomination Level:University

George Barbour Award for Good Faculty-Student Relations Status:Nomination Level:University Type:Non-Monetary

spatial statistics

15-MATH-361 PROB & STATS I Level:Undergraduate

probability statistics

15-MATH-361 PROB & STATS I Level:Undergraduate

probability statistics

Applied Spatial Statistics Level:Graduate

Probability & Statistics I Level:Undergraduate

15-STAT-362 PROB & STATS II Level:Undergraduate

STAT362 Winter 2012

15-STAT-532 AP REGRESSION ANLYS Level:Both

STAT532 Winter 2012

-STAT-7021 LM AND MULTI VAR I Level:Graduate

STAT 9081 Seminar in Statistics Level:Graduate

STAT 9081 Seminar in Statistics Level:Graduate

-STAT-7022 LM AND MULTI VAR II Level:Graduate

STAT 3038 PROB & STAT II Level:Undergraduate

-STAT-2037 PROB & STATS I Level:Undergraduate

-STAT-6031 APPLIED STATS I Level:Both

Linear Models & Multivariate Analysis II

Spatial Statistics Level:Graduate

-STAT-7024 LM AND MULTIVAR II Level:Graduate

STAT-6032 APPLIED STATS II Level:Both

-STAT-2037 PROB & STATS I Level:Undergraduate

-STAT-6031 APPLIED STATS I

Applied Statistics I Level:Undergraduate

-STAT-7024 LM AND MULTIVAR II Level:Graduate

Applied Statistics II Level:Both

-STAT-6031 APPLIED STATS I Level:Both

-STAT-7020 TOPICS IN APP STAT Level:Graduate

Level:Graduate

-STAT-7024 LM AND MULTIVAR II Level:Graduate

-STAT-6031 APPLIED STATS I Level:Graduate

-STAT-7024 LM AND MULTIVAR II Level:Graduate

Applied Statistics II Level:Undergraduate

Applied Statistics II Level:Graduate

Applied Statistics II Level:Both