Seungchul Baek, 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. Luo, R., Baek, S., and Ma, Y. Locally Efficient Estimators for Partially Linear Single Index Quantile Regression. Under review.
2. Andalib, V.^*, Baek, S. A High-Dimensional Classifier With Variable Selection Using Mirror Statistics. Under review.
3. Andalib, V.^*, Baek, S. (2024+) Data-Adaptive Binary Classifiers in High Dimensions Using Random Partitioning. Journal of Statistical Computation and Simulation , in press.
4. 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.
5. 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.
6. Baek, S. and Park, J. (2022). A Computationally Efficient Approach to Estimating Species Richness and Rarefaction Curve. Computational Statistics, 37: 1919-1941.
7. 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.
8. 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.
9. Park, H., Baek, S., and Park, J. (2021). High-dimensional Linear Discriminant Analysis Using Nonparametric Methods. Journal of Multivariate Analysis, 188: 104836.
10. 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.
11. 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.
12. 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.
13. Jiang, F, Baek, S., Cao, J., and Ma, Y. (2020). A Functional Single Index Model. Statistica Sinica, 30: 303-342.
14. 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)