Current Ph.D. students

• Cong Cheng
• Bingnan Li
• Byoungseok Choi

Graduated Ph.D. students

• Hyunseok Seung (2025, co-advised with Dr. Jaewoo Lee)
  Thesis title: Scalable and Efficient Learning: Algorithmic Advances for Time Series and Deep Neural Models
  First position: University of Wisconsin–Madison

• Tianyi Zhang (2025)
  Thesis title: Robust Statistical Methods and Advanced Computational Techniques for High-Dimensional Data Analysis
  First position: Tencent Games

• Dan Luo (2024)
  Thesis title: On Robust Statistical Estimation for Complicated Time Series
  First position: Astellas Pharma

• Kaiwen Han (2023)
  Thesis title: Robust Autocovariance Change Point Analysis for Heavy-tailed Time Series
  First position: Wells Fargo

• Xiaochuan Li (2023)
  Thesis title: New Methods of Artificial Intelligence with Applications in the Analysis of Medical Data
  First position: Wells Fargo

• Xiao Di (2022, co-advised with Dr. Jeongyoun Ahn)
  Thesis title: Learning Structure Changes in High-dimensional and Heavy-tailed Time Series
  First position: J.P. Morgan

• Murilo Da Silva (2021, co-advised with Dr. T.N. Sriram)
  Thesis title: Dimension Reduction in Time Series under the Presence of Conditional Heterosedasticity
  First position: Ton (Stone Co.)

Graduated Master students

• Nikhik Ranjan (2022)
• Bingnan Li (2022)