Faculty

Prof. Zhanrui Cai

Assistant Professor at IIM (View Profile)

  • Ph.D. The Pennsylvania State University

  • High dimensional inference, machine learning, and differential privacy.

Prof. Jing Ouyang

Assistant Professor at IIM (View Profile)

  • Ph.D. University of Michigan

  • Latent variable models, psychometrics, high-dimensional statistical inference, and statistical machine learning.

Prof. Xinghao Qiao

Associate Professor at IIM (View Profile)

  • Ph.D. University of Southern California

  • Functional data analysis, complex time series analysis, high-dimensional statistics/ econometrics, and machine learning in finance.

Prof. Haipeng Shen

Associate Dean (Executive Education), Patrick S C Poon Professor in Analytics and Innovation, Chair of Business Analytics and Innovation (View Profile)

  • Ph.D. University of Pennsylvania

  • Data-driven decision making in the face of uncertainty (big data, business analytics, healthcare analytics, service engineering).

Prof. Xin Tong

Professor at IIM (View Profile)

  • Ph.D. Princeton University

  • Asymmetric statistical learning, addressing challenges in the Neyman-Pearson classification paradigm, data distortion, sampling bias, asymmetric groups in classification and clustering, and partial knowledge in clustering and community detection.

Prof. Weichen Wang

Assistant Professor at IIM (View Profile)

  • Ph.D. Princeton University

  • Big data analysis, machine learning, econometrics and asset pricing, factor model and low-rank structure, semi-parametric and robust statistics.

Prof. Dan Yang

Associate Professor at IIM, Associate Director for Institute of Digital Economy and Innovation (IDEI) (View Profile)

  • Ph.D. University of Pennsylvania

  • Business analytics in finance and healthcare, high-dimensional statistical inference, tensor data, time series analysis, dimension reduction, functional data analysis and multivariate data analysis, analysis of observational studies and causal inference.