Hang Joon Kim Contact Information Department of Mathematical Sciences University of Cincinnati Office: (513) 556-4937 PO Box 210025 Email: hang.kim@uc.edu Cincinnati, OH 45221-0025 http://homepages.uc.edu/ kim3h4/ Research Interests Bayesian analysis; Statistical computing; Nonparametric Bayesian modeling Missing data; Data privacy; Survey sampling Computer experiment Statistical genetics Positions University of Cincinnati, Cincinnati, OH Assistant Professor in Statistics Aug 2015 Present Department of Mathematical Sciences Duke University/National Institute of Statistical Sciences, Durham, NC Postdoctoral Fellow July 2012 June 2015 Department of Statistical Science Yonsei Institute of Statistical Science, Seoul, Korea Consultant Mar June 2006 Education The Ohio State University, Columbus, OH Ph.D., Statistics, June 2012 Yonsei University, Seoul, Korea M.S., Statistics, Feb 2006 B.A., Applied Statistics / B.A, Business, June 2002 Refereed Publications 1. Kim, H. J., Yu, Z., Lawson, A., Zhao H., and Chung, D. (2018). Improving SNP prioritization and pleiotropic architecture estimation by incorporating prior knowledge using graph-gpa, Bioinformatics. 2. Kim, H. J., Reiter, J. P., and Karr, A. F. (2018). Simultaneous editimputation and disclosure limitation for business establishment data, Journal of Applied Statistics, 45, 63 82. 3. Kortemeier, E., Ramos, P. S., Hunt, K. J., Kim, H. J., Hardiman G., Chung D. (2018). ShinyGPA: An interactive visualization toolkit for investigating pleiotropic architecture using GWAS datasets, PLoS ONE, 13(1): e0190949. 1 / 5
4. Chung, D., Kim, H. J., and Zhao, H. (2017). graph-gpa: A graphical model for prioritizing GWAS results and investigating pleiotropic architecture, PLoS Computational Biology, 13(2): e1005388. 5. Kim, H. J., Cox, L. H., Karr, A. F., Reiter, J. P., and Wang, Q. (2015), Simultaneous edit-imputation for continuous microdata, Journal of the American Statistical Association, 110, 987 999. 6. Kim, H. J. and MacEachern, S. N. (2015), The generalized multiset sampler, Journal of Computational and Graphical Statistics, 24, 1134 1154. 7. Kim, H. J., Karr, A. F. and Reiter, J. P. (2015), Statistical disclosure limitation in the presence of edit rules, Journal of Official Statistics, 31, 121 138. 8. Kim, H. J., Reiter, J. P., Wang, Q., Cox, L. H. and Karr, A. F. (2014), Multiple imputation of missing or faulty values under linear constraints, Journal of Business and Economics Statistics, 32, 375 386 Book Chapters Software and Other Publications Bakshi, B. R., Kim, H. J., and Goel, P. K. (2011), Using thermodynamics and statistics to improve the quality of life-cycle inventory data, in Thermodynamics and the Destruction of Resources, eds. B. R. Bakshi, T. R. Gutowski, and D. P. Sekulic, Cambridge University Press, pp. 235-248 Wang, Q., Kim, H. J., Reiter, J. P., Cox, L. H., and Karr, A. F. (2016), EditImputeCont: Simultaneous Edit-Imputation for Continuous Microdata. R package version 1.0.1. Kim, H. J. and Karr, A. F. (2013), The effect of statistical disclosure limitation on parameter estimation for a finite population, Technical Report 183, National Institute of Statistical Sciences, Durham, NC Honors Summer at Census Scholar, U.S. Census Bureau, Washington, DC, June 27 29, 2017. KISS Career Development Award, Korean International Statistical Society, Portland, OH, Aug 2015. American Statistical Association Student Paper Award, ASA Section on Bayesian Statistical Science, Alexandria, VA, Aug 2012 Ransom & Marian Whitney Award for Best Dissertation Research, Ohio State University, Dept. of Statistics, Columbus, OH, June 2012 American Statistical Association Travel Award, ASA Section on Business and Economics Statistics, Alexandria, VA, Aug 2011 2 / 5
Edward G. Mayers Travel Award, Ohio State University, Division of Natural and Mathematical Sciences, Columbus, OH, Aug 2011 Ransom & Marian Whitney Award for Outstanding Consultant, Ohio State University, Dept. of Statistics, Columbus, OH, June 2010 Research Supports Statistically integrated publication system for the Economic Census synthetic microdata ASA/NSF/Census Research Fellowship. Role: Principal Investigator. Status: Active. Period: 04/30/2018 07/30/2019. Amount: $119,357. Big data analytics and visualization framework for substance abuse research National Institutes of Health (PA-14-155). Role: Site Principal Investigator. Status: Denied. Simultaneous approach to edit-imputation and data protection for business establishment data Charles Phelps Taft Summer Research Fellowship. Status: Completed. Period: 05/02/2016 08/19/2016. Amount: $8,000. Presentations Bayesian inverse modeling with regularization for air pollution source identification Korean-American Scientists and Engineers Association South Ohio Chapter, Cincinnati, OH, Feb 2018 (Invited) Medical University of South Carolina, Charleston, SC, Dec 2017 (Invited) Kyungpook National University, Daegu, Korea, Dec 2017 (Invited) Yonsei University, Seoul, Korea, Dec 2017 Statistically integrated publication system for business establishment microdata (Invited) Summer at Census presentation, Washington, DC, June 2017 2017 Economic census: Towards synthetic data sets (Invited) NSF-Sloan Workshop on Practical Privacy, Washington, DC, May 2017 A semiparametric Bayesian survival analysis using covariate-dependent clustering, with application to pediatric kidney transplantation data Joint Statistical Meetings, Chicago, IL, July 2016 Editing, imputation, and synthesis: A public use file for business establishment data (Invited) University of Notre Dame, Notre Dame, IN, Mar 2016 Joint Statistical Meetings, Seattle, WA, Aug 2015 Simultaneous edit-imputation for continuous microdata 3 / 5
Division of Biostatistics and Epidemiology, Cincinnati Children s, Cincinnati, OH, Dec 2015 (Invited) IBM TJ Watson Research Center, Yorktown Heights, NY, Oct 2015 Bayesian data editing for continuous microdata (Invited) Statistics Korea, Daejeon, Korea, Oct 2014 (Invited) Yonsei University, Seoul, Korea, Oct 2014 Joint Statistical Meetings, Boston, MA, Aug 2014 U.S. Census Bureau, Center for Statistical Research Methodology Seminar, Washington, DC, Apr 2014 SAMSI Computational Methods for Censuses and Surveys Workshop, Washington, DC, Jan 2014 (Invited) Federal Committee on Statistical Methodology Research Conference, Washington, DC, Nov 2013 Statistical disclosure control for microdata: Current practices and future development (Keynote speaker) Survey Methodology Symposium, Daejeon, Korea, Oct 2014 Introduction to advanced Markov chain Monte Carlo (Lecturer) Duke Social Science Research Institute Workshop, Durham, NC, Oct 2013 Multiple imputation under the edit constraints Joint Statistical Meetings, Montreal, Quebec, Aug 2013 NSF-Census Research Network PI Meeting, Durham, NC, May 2013 U.S. Census Research Center for Economic Studies Seminar, Washington, DC, Apr 2013 The generalized multiset sampler Joint Statistical Meetings, San Diego, CA, July 2012 Joint Statistical Meetings, Miami Beach, FL, Aug 2011 Hierarchical Bayes conjoint choice analysis via the approximate dependent Poisson race model Joint Statistical Meetings, Vancouver, BC, Aug 2010 Introduction to discrete choice models OSU SPAM seminar, Columbus, OH, Mar 2010 One-step method for data augmentation Spring Conference of Korean Statistical Society, Daegu, Korea, May 2006 PhD Supervision Huaiyu Zang (PhD candidate), 2015 Present Yuan Yuan (Post-preliminary exam), 2017 Present 4 / 5
Affiliation American Statistical Association, Institute of Mathematical Statistics, International Society for Bayesian Analysis, Korean International Statistical Society 5 / 5