Research Interests

• Data privacy; Synthetic data
• Missing data; Survey sampling
• Bayesian analysis; Nonparametric Bayesian modeling
• Computer experiment; Statistical computing
• Statistical genomics; Causal inference

Research Supports

• 07/01/2024-06/30/2027, "Robust and Efficient Bayesian Inference for Misspecified and Underspecified Models," National Science Foundation (NSF), Role:PI, $90,423
• 11/01/2021-10/31/2024, "Mixed Data Meta-analysis: Integration of Individual Participant and Aggregate Data," Patient-Centered Outcomes Research Institute (PCORI), Role:PI, $109,134
• 01/01/2020-04/30/2021, "Statistical Models for Genetic Studies, Using Network and Integrative Analysis," NIH R01 GM122078, Role:PI, $32,997
• 04/30/2018-01/30/2020, "Statistically Integrated Publication System for the Economic Census Synthetic Microdata," ASA/NSF/Census Research Fellowship, Role:PI, $170,379

Presentations

1. OSU Stat’s 50th Anniversary Conference, Columbus, OH, Oct 2024, "Variance-adjusted Bayesian inference with pseudo-likelihood under unequal probability sampling"
2. Privacy and Public Policy Conference, Washington, DC, Sep 2024, "Variance adjusted inference for unequal probability sample with application to imputation and data synthesis"
3. Joint Statistical Meetings, Portland, OR, Aug 2024, "Select synthetic microdata for survey data"
4. International Society for Bayesian Analysis World Meeting, Venice, Italy, July 2024, "Variance-adjusted Bayesian inference with pseudo-likelihood under unequal probability sampling"
5. Kyungpook National University, Daegu, Korea, June 2024, "Bayesian estimation of physical activity from wearable sensor measurements"
6. University of California San Francisco, San Francisco, CA, Mar 2024, "Statistical (Bayesian) modeling, computation, and its application"
7. Korea University, Seoul, Korea, Sept 2023, "Statistical disclosure limitation and Bayesian synthetic data methods"
8. Joint Statistical Meetings, Toronto, Canada, Aug 2023, "Multiple imputation and synthetic data generation under unequal probability sampling"
9. Korean Statistical Society Conference, Pusan, Korea, July 2023, "Multiple imputation and synthetic data generation under unequal probability sampling"
10. Joint Statistical Meetings, Washington, DC, Aug 2022, "Bayesian model calibration and sensitivity analysis with ordinary differential equation modeling"
11. Guest tutorial, KSIAM-NIMS (National Institute for Mathematical Sciences) School on Biomathematics, Yeosu, Korea, June 2022, "Statistical tools for mathematical modeling"
12. Ewha Womans University, Seoul, Korea, June 2022, "Bayesian model calibration and sensitivity analysis with ordinary differential equation modeling"
13. (virtual) Korean International Statistical Society, Apr 2022, "Bayesian model calibration and sensitivity analysis with ordinary differential equation modeling"
14. Yonsei University, Seoul, Korea, Apr 2022, "Bayesian model calibration and sensitivity analysis with ordinary differential equation modeling"
15. Chung-Ang University, Seoul, Korea, Apr 2022, "Bayesian model calibration and sensitivity analysis with ordinary differential equation modeling"
16. Korea Advanced Institute of Science \& Technology, Daejeon, Korea, Apr 2022, "Advanced Markov chain Monte Carlo for mathematical model parameter estimation and uncertainty quantification"
17. Institute of Basic Science, Daejeon, Korea, Jan 2022, "Introduction to Bayesian variable selection"
18. (virtual) Korean Statistical Society Conference, Nov 2021, "Data editing and synthetic data generation using nonparametric Bayesian models"
19. Institute of Basic Science, Daejeon, Korea, Aug 2021, "Bayesian model calibration and sensitivity analysis for oscillating biochemical experiments "
20. Kyungpook National University, Daegu, Korea, Dec 2020, "Data-driven editing and imputation for the economic census using nonparametric Bayesian modeling"
21. Guest tutorial, Korean Rural Economic Institute, Naju, Korea, July 2020, "Introduction to survey design and sampling"
22. (virtual) U.S. Bureau of Labor Statistics and Census Bureau, June 2020, "Data-driven editing and imputation for the economic census and surveys"
23. (virtual) Guest tutorial, Statistics graduate program, Kyungpook National University, Korea, Dec 2020, "Data protection of electricity consumption statistics"
24. Virtual Joint Statistical Meetings, Aug 2020, "Synthetic microdata for establishment surveys under informative sampling"
25. Guest lecture at MCP6041C class, Systems Biology and Physiology Graduate Program, University of Cincinnati, Jan 2020, "Mathematical/computational models, data, and uncertainty"
26. USDA, National Agricultural Statistics Service, Washington, DC, Jan 2020
27. Division of Biostatistics, Ohio State University, Columbus, OH, Aug 2019, "Nonparametric Bayesian modeling to handle missing data and measurement errors"
28. EAC-ISBA (International Society for Bayesian Analysis), Kobe, Japan, June 2019, "Nonparametric Bayesian modeling in government statistics: Recent developments in imputation, editing and data protection"
29. Bureau of Labor Statistics, Washington, DC, June 2019, "Statistically integrated publication system for the Economic Census microdata"
30. NORC at the University of Chicago, Bethesda, MD, Dec 2018, "Statistically integrated publication system for the Economic Census microdata"
31. Joint Statistical Meetings, Vancouver, BC, July 2018, "Economic Census synthetic microdata with Dirichlet process calibrated imputation model"
32. Korean-American Scientists and Engineers Association South Ohio Chapter, Cincinnati, OH, Feb 2018, "Bayesian inverse modeling with regularization for air pollution source identification"
33. Medical University of South Carolina, Charleston, SC, Dec 2017, "Bayesian inverse modeling with regularization for air pollution source identification"
34. Yonsei University, Seoul, Korea, Dec 2017, "Bayesian inverse modeling with regularization for air pollution source identification"
35. Kyungpook National University, Daegu, Korea, Dec 2017, "Bayesian inverse modeling with regularization for air pollution source identification"
36. Summer at Census presentation, Washington, DC, June 2017, "Statistically integrated publication system for business establishment microdata"
37. NSF-Sloan Workshop on Practical Privacy, Washington, DC, May 2017, "2017 Economic census: Towards synthetic data sets"
38. Joint Statistical Meetings, Chicago, IL, July 2016, "A semiparametric Bayesian survival analysis using covariate-dependent clustering, with application to pediatric kidney transplantation data"
39. University of Notre Dame, Notre Dame, IN, Mar 2016, "Editing, imputation, and synthesis: A public use file for business establishment data"
40. Division of Biostatistics and Epidemiology, Cincinnati Children's, Cincinnati, OH, Dec 2015, "Simultaneous edit-imputation for continuous microdata"
41. IBM TJ Watson Research Center, Yorktown Heights, NY, Oct 2015, "Simultaneous edit-imputation for continuous microdata"
42. Joint Statistical Meetings, Seattle, WA, Aug 2015, "Editing, imputation, and synthesis: A public use file for business establishment data"
43. Statistics Korea, Daejeon, Korea, Oct 2014, "Bayesian data editing for continuous microdata"
44. Yonsei University, Seoul, Korea, Oct 2014, "Bayesian data editing for continuous microdata"
45. (\emph{Keynote speaker}) Survey Methodology Symposium, Daejeon, Korea, Oct 2014, "Statistical disclosure control for microdata: Current practices and future development"
46. Joint Statistical Meetings, Boston, MA, Aug 2014, "Bayesian data editing for continuous microdata"
47. U.S. Census Bureau, Center for Statistical Research Methodology Seminar, Washington, DC, Apr 2014, "Bayesian data editing for continuous microdata"
48. SAMSI Computational Methods for Censuses and Surveys Workshop, Washington, DC, Jan 2014, "Bayesian data editing for continuous microdata"
49. Federal Committee on Statistical Methodology Research Conference, Washington, DC, Nov 2013, "Bayesian data editing for continuous microdata"
50. Duke Social Science Research Institute Workshop, Durham, NC, Oct 2013, "Introduction to advanced Markov chain Monte Carlo"
51. Joint Statistical Meetings, Montreal, Quebec, Aug 2013, "Multiple imputation under the edit constraints"
52. NSF-Census Research Network PI Meeting, Durham, NC, May 2013, "Multiple imputation under the edit constraints"
53. U.S. Census Research Center for Economic Studies Seminar, Washington, DC, Apr 2013, "Multiple imputation under the edit constraints"
54. Joint Statistical Meetings, San Diego, CA, July 2012, "The generalized multiset sampler"
55. Joint Statistical Meetings, Miami Beach, FL, Aug 2011, "The generalized multiset sampler"
56. Joint Statistical Meetings, Vancouver, BC, Aug 2010, "Hierarchical Bayes conjoint choice analysis via the approximate dependent Poisson race model"
57. OSU SPAM seminar, Columbus, OH, Mar 2010, "Introduction to discrete choice models"