Supervision

Doctoral Students

• Leo Watson (Co-supervised with Josh Speagle, Sept ’24 – now)
• Yichen Ji (Co-supervised with Monica Alexander, Sept ’24 – now)
• Qing Wang (Co-supervised with Roberto Casarin, Ca’Foscari Venice, Jan ’22 – now)
• Morris Greenberg (Co-supervised with Kieran Campbell, Jan ’22 – now)
• Robert Zimmerman (Graduated in Dec ’24)
  Thesis: Copulas: New Theory and Methods
• Wei Deng (Co-supervised with Lei Sun – Graduated in June ’21)
  Thesis: A variance-centric approach to statistical analyses of large-scale genetic data
• Evgeny Levi (Graduated in June 2019)
  Thesis: Conditional Copula Inference and Efficient Approximate MCMC
• Osvaldo Espin-Garcia (Co-supervised with Shelley Bull & Wei Xu, July ’14 – June 2019)
  Thesis: Advances in Incomplete Data Methods for Statistical Genetics
• Bo Chen (Co-supervised with Lei Sun – Graduated in June 2019)
  Thesis: Statistical Methods for X-inclusive Genome-wide Association Study
• Reihaneh Entezari (Co-Supervised with Jeffrey S. Rosenthal & Patrick Brown – Graduated in July ’18)
  Thesis: Bayesian Computations via MCMC, with applications to Big Data and Spatial Data
• Jinyoung Yang (Co-supervised with Jeffrey S. Rosenthal – Graduated in September ’16)
  Thesis: Convergence and Efficiency of Adaptive MCMC
• Avideh Sabeti (Graduated in June ’13)
  Thesis: Bayesian Inference for Bivariate Conditional Copula Models with Continuous or Mixed Outcomes
• Lizhen Xu (Co-supervised with Lei Sun – Graduated in September ’12)
  Thesis: Bayesian Methods for Genetic Association Studies
• Li Li (Co-supervised with Fang Yao – Graduated in September ’11)
  Thesis: Model Selection via Minimum Description Length
• Elif Acar (Co-supervised with Fang Yao – Graduated in September ’10)
  Thesis: Nonparametric Estimation and Inference for the Copula parameter in Conditional Copulas
• Antonio Fabio di Narzo (Visiting PhD student from University of Bologna, Sept ’08 – March ’09; Graduated in March 2010)
  Thesis: Adaptive Markov Chain Monte Carlo: A New Mixture Based Algorithm with Applications to Bayesian Modeling
• Chao Yang (Co-supervised with Jeffrey S. Rosenthal – Graduated in December ’08)
  Thesis: Ergodicity of Adaptive MCMC and its Applications