I am a fourth-year PhD student in the Machine Learning Department at Carnegie Mellon University. My advisor is Aarti Singh. Before coming to CMU, I was an undergraduate student at the Yao Class in Tsinghua University.
I am generally interested in statistical machine learning. Many main research focus is to design and understand interactive methods that improve data efficiency for noisy estimation and/or optimization problems. Most problems I work on can be classified as experimental design, missing data, online learning, active learning and/or Bayesian optimization (also known as "zeroth-order/black-box optimization").
I am also interested in statistics and operations research questions connected to machine learning, such as nonparametric and mixture models in statistics and dynamic assortment selection models in operations research and revenue management.Download CV
PhD student in Machine Learning, School of Computer Science
Advisor: Aarti Singh
2014 - present
B. Eng. in Computer Science
Undergraduate thesis: Spectral Methods in Supervised Topic Modeling
Thesis advisor: Jun Zhu
2010 - 2014
Supervisor: Dengyong (Denny) Zhou and Chong Wang.
Supervisor: Petros Efstathopoulos and Kevin Roundy.
RA at State Key Laboratory of Intelligent Technology and Systems.
Advisor: Jun Zhu
Undergraduate exchange program at Department of EECS