Seungchul Baek (백승철), Ph.D. 

Education

• Ph.D. in Statistics, Department of Statistics, University of South Carolina, 2018
         - Advisor: Dr. Yanyuan Ma
  
• M.A. in Statistics, Department of Applied Statistics, Yonsei University, Seoul, Korea, 2005
  
• B.A. in Statistics (minor in Mathematics), Department of Applied Statistics, Yonsei University, Seoul, Korea, 2001

Research

• Research topics: Machine learning, High-dimensional data analysis, Multivariate analysis, Dimension reduction, Semiparametrics, Functional data analysis


• Papers


1. Kim, Y.^*, Baek, S., Lee, D., and Park, J. A Group Sequential Multiple Testing Method and Its Application to GWAS with Linkage Disequilibrium Score. Under review.
2. Luo, R., Baek, S., and Ma, Y. Locally Efficient Estimators for Partially Linear Single Index Quantile Regression. Under review.
3. Andalib, V.^*, Baek, S. A High-Dimensional Classifier With Variable Selection Using Mirror Statistics. Revision submitted.
4. Andalib, V.^*, Baek, S. (2024+) Data-Adaptive Binary Classifiers in High Dimensions Using Random Partitioning. Journal of Statistical Computation and Simulation, in press.
5. Joglekar, T., Chin, A., Vaskanian-Kordi, A., Baek, S., and others. (2024) ^† Deep PIM kinase substrate profiling reveals new rational cotherapeutic strategies for acute myeloid leukemia. Blood Advances, 8(15):3880-3892.
6. Baek, S., Park, H., and Park, J. (2024). Variable Selection Using Data Splitting and Projection for Principal Fitted Component Models in High Dimension. Computational Statistics and Data Analysis, 196:107960.
7. Baek, S. and Park, J. (2022). A Computationally Efficient Approach to Estimating Species Richness and Rarefaction Curve. Computational Statistics, 37: 1919-1941.
8. Sullivan, S., Rinaldi, J., Hariharan, P., Casamento, J., Baek, S., Seay, N., Vesnovsky, O., and Topoleski, L.D. (2021). ^† Clinical Evaluation of Non-Contact Infrared Thermometers. Scientific Reports, 11: 1-10.
9. Park, H., Baek, S., and Park, J. (2022). High Dimensional Classification Based on Nonparametric Maximum Likelihood Estimation Under Unknown and Inhomogeneous Variances. Statistical Analysis and Data Mining, 15: 193-205.
10. Park, H., Baek, S., and Park, J. (2021). High-dimensional Linear Discriminant Analysis Using Nonparametric Methods. Journal of Multivariate Analysis, 188: 104836.
11. Baek, S., Park, H., and Park, J. (2021). A High-Dimensional Classification Rule Using Sample Covariance Matrix Equipped With Adjusted Estimated Eigenvalues. Stat, 10: e358.
12. Baek, S., Kim, Y.^*, Park, J., and Lee, J. S. (2022). Revisit to Functional Data Analysis of Sleeping Energy Expenditure. Journal of Applied Statistics, 49: 988-1002.
13. Baek, S., Ho, Y.-Y., and Ma, Y. (2020). Using Sufficient Direction Factor Model to Analyze Latent Activities Associated with Breast Cancer Survival. Biometrics, 76: 1340-1350.
14. Jiang, F, Baek, S., Cao, J., and Ma, Y. (2020). A Functional Single Index Model. Statistica Sinica, 30: 303-342.
15. Baek, S., Komori, O., and Ma, Y. (2018). An Optimal Semiparametric Method for Two-Group Classification. Scandinavian Journal of Statistics, 45: 806-846.

     Note: ^* denotes students who I've advised/co-advised.
              ^† denotes interdisciplinary work.

Editorial Service

• Associate Editor, Statistical Analysis and Data Mining, Jan. 2023-Current

Teaching

• STAT 636: Statistical Learning and Data Mining (Fall 2024, Spring 2022)
• STAT 613: Linear Models I (Fall 2022, Fall 2021)
• STAT 405/605: Survey Sampling (Fall 2020)
• STAT 355: Introduction to Probability and Statistics for Scientists and Engineers (Summer 2024, Spring 2024, Spring 2023, Spring 2022, Spring 2021, Spring 2020)
• STAT 633: Statistical Computing (Spring 2023, Spring 2021, Spring 2019)
• STAT 433: Statistical Computing (Fall 2024, Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019, Fall 2018)

• STAT 509: Statistics for Engineers (Fall 2017)
• STAT/MATH 511: Probability (Summer 2017)
• STAT 201: Elementary Statistics (Spring 2015-Spring 2017)