CV

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Education

Ph.D. in Statistics with minor in Computer Science, University of Wisconsin-Madison, 2023
- Advisor: Miaoyan Wang
B.S. in Mathematical Science and Statistics, Seoul National University, 2018

This work wins Best Student Paper Award from the Statistical Learning and Data Science Section of American Statistical Association (ASA), 2023.

Smooth tensor estimation with unknown permutations
Chanwoo Lee and Miaoyan Wang. Under review, 2021.

This work wins NESS Student Research Award, 2022.
This work wins IMS Hannan Graduate Student Travel Award, 2022.
Part of the work is selected as oral presentation into NeurIPS 2021 Workshop on Quantum Tensor Networks in Machine Learning.

Nonparametric trace regression in high dimensions via sign series representation
Chanwoo Lee, Lexin Li, Hao Helen Zhang, and Miaoyan Wang. Under review, 2021.

Beyond the Signs: Nonparametric tensor completion via sign series
Chanwoo Lee and Miaoyan Wang. Advances in Neural Information Processing Systems 34 (NeurIPS), 2021.

Generalized Tensor Decomposition with Features on Multiple Modes
Jiaxin Hu, Chanwoo Lee, and Miaoyan Wang. Journal of Computational and Graphical Statistics (JCGS), 2021.

This work wins Best Student Paper Award from the Statistical Computing and Graphics Section of American Statistical Association (ASA), 2021.
Part of the work is accepted into NeurIPS 2020 Workshop on Machine Learning and the Physical Sciences.

Tensor denoising and completion based on ordinal observations
Chanwoo Lee and Miaoyan Wang. Proceedings of International Conference on Machine Learning (ICML), 2020.

IMS Lawrence D. Brown Ph.D. Student Award, Institute of Mathematical Statistics (IMS), 2024
Best Student Paper Award, Statistical Learning and Data Science Section, American Statistical Association, 2023
Honorable Mention Graduate Course TA Award, Department of Statistics, University of Wisconsin-Madison, 2022
NESS Student Research Awards, New England Statistical Society (NESS), 2022
IMS Hannan Graduate Student Travel Award, Institute of Mathematical Statistics (IMS), 2022
Seoul National University Alumni Scholarship, Seoul National University Alumni Association, 2016-2017
National Scholarship For Science & Engineering, Korea Student Aid Foundation, 2012-2017

Estimating smooth tensor with unknown permutation
- Joint Statistical Meetings (JSM)
- International Conference on Econometrics and Statistics (EcoSta)
- New England Statistical Society (NESS) symposium
- Workshop talk at Advances in Neural Information Processing Systems 34 (NeurIPS) Workshop on Quantum Tensor Networks in Machine Learning
- Poster at Institude of Foundation of Data Science (IFDS) Summer school 2021 poster session
Beyond the Signs: Nonparametric tensor completion via sign series
- New England Statistical Society (NESS) symposium
- Conference proceedings talk at Neural Information Processing Systems 34 (NeurIPS)
Supervised Tensor Decomposition with interactive side information
- Workshop talk at Advances in Neural Information Processing System 33 (NeurIPS) Workshop on Machine Learning and the Physical Science
Nonparametric learning with matrix-valed predictors in high dimensions
- Poster at Institude for Foundation of Data Science (IFDS) Kickoff 2020 poster session
Tensor denoising and completion based on ordinal observations
- Talk at Bernoulli-IMS One World Symposium
- Conference proceedings talk at International Conference on Machine learning (ICML)
- Talk at Institude for Foundation of Data Science (IFDS) brown-bag, University of Wisconsin-Madison

Quantitative Research Summer Intern, Citadel, 2022
Graduate Research Assistant, University of Wisconsin-Madison, 2019-Present
Summer Research Assistant, Institude for Foundation of Data Science (IFDS), 2021
Undergraduate Research Assistant, Seoul National University, 2016-2018
Republic of Korea Air Force, 2013-2015