(B.S.) Mathematics and Industrial Engineering, Yonsei University, Korea
2016.08 - 2018.07: 박사후연구원, 예일대학교
고차원데이터 모형 분석, 머신러닝, 분위수모형분석,바이오통계
Park, S. and Zhao, H. (2020). Integrating multidimensional data for clustering analysis with applications to cancer patient data. Journal of the American Statistical Association, https://doi.org/10.1080/01621459.2020.1730853
Tang, D., Park, S.^, and Zhao, H. (2020). NITUMID: NMF-based Immune-TUmor MIcroenvironment Deconvolution. Bioinformatics, Vol. 36, No. 5, 1344-1350.
Park, S.*, Zhao, H. (2019). Sparse principal component analysis with missing observations. Annals of Applied Statistics, Vol.13, No.2, 1016-1042.
Park, S.* and Lee, S. (2019). Linear programming models for portfolio optimization using a benchmark. European Journal of Finance, Vol. 25, 435-457.
Park, S.*, Zhao, H. (2018). Spectral clustering based on learning similarity matrix. Bioinformatics, Vol. 34, No. 12, 2069-2076.
Park, S*., He, X., Zhou, S. (2017). Joint quantile regression with high dimensional covariates. Statistica Sinica, Vol. 27, No. 4, 1619-1638. (Winner of the 2015 Student Paper Competition in the ASA Section on SLDM)
Park, S.*, He, X. (2017). Hypothesis testing for regional quantiles. Journal of Statistical Planning and Inference, Vol. 191, 13-24.
Greenewald, K., Park, S., Giessing, A., Zhou, S. (2017). Time varying matrix- variate graphical models. In Advances in Neural Information Processing Systems, 30 (NIPS 2017)
National Research Foundation of Korea Grant (2019 - 2022),(NRF2019R1C1C1003805), Principal Investigator, 210,000,000 (KRW)
Sungkyun Research Fund (2018), Principal Investigator, 2018 - 2019
KOFAC-2019 Undergraduate Research Program, Principal Investigator, 2019
Winner of the 2015 Student Paper Competition in the ASA Section on SLDM (2015)
Rackham Research Travel Grant Award (2013,2014,2015)