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Faculty - Statistics

  • Assistant Professor High-dimensional model / Machine learning
  • PARK, SEYOUNG 홈페이지 바로가기

High-dimensional model

Education

  • (Ph.D.) Statistics, University of Michigan, USA
  • (M.S.) Statistics, University of Michigan, USA
  • (B.S.) Mathematics and Industrial Engineering, Yonsei University, Korea

Experience

  • 2016.08 - 2018.07: Postdoctoral Associate, Biostatistics Department, Yale University, New Haven, USA.

Research Interest

  • High-dimensional model, Machine learning, Quantile Modeling, Biostatistics

Research Keyword

  • High-dimensional data, Machine learning, Optimization, Quantile Modeling

Major Research Achievements

  • 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)

Honors / Awards

  • 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)
  • KT&G fellowship (2010-2011)

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