PhD Advising
I have had the pleasure of advising numerous exceptional Ph.D. students in their dissertation work. Their work and friendship have been essential in enriching to my research, career, and personal life.
Current advisees
Past Advisees
- Wang (Esther) Qian, 2022, Permutation Recovery in Shuffled Total Least Squares Regression
- Zihuan Qiao, 2022, Graph matching with applications to network analysis
- Kelly Kung, 2022, Estimation of Causal Effects of Exposure Models and of Drug-Induced Homicide Prosecutions on Drug Overdose Deaths, (joint with Judith Lok)
- Drave, Benjamin, Joint spectral embeddings of random dot product graphs
- Christy Lin, 2021, Unsupervised random walk node embeddings for network block structure representation, (joint with Prakash Ishwar)
- Wenrui Li, 2021, Uncertainty quantification in noisy networks, (joint with Eric Kolaczyk)