PhD students

Current Students

• Jiefu Zhou 2023-present.
• Rachita Mandal 2024-present.

Past Students

• Sumegha Premchandar, Graduated 2024.
  Defense Topic: Normalizing Flows Aided Variational Inference for Uncertainty Quantification.
  Current Affiliation: Quantitative analytics specialist, Wells Fargo.

• Mookyong Son, Graduated 2023.
  Defense Topic: Calibrated computer models using Markov Chain Monte Carlo and Variational Bayes.
  Current Affiliation: Research Scholar at Memorial Sloan Kettering Cancer Center.

• Sanket Jantre, Graduated 2022.
  Defense Topic: Consistent Bayesian Learning for Neural Network Models: Theory and Computation.
  Current Affiliation: Research Staff 3, Applied Mathematics, Brookhaven National Laboratory.

• Minwoo Kim, Graduated 2022.
  Defense Topic: Variational Bayes Inference of Ising Models and their Applications.
  Current Affiliation: Assistant Professor, Pusan National University.

• Zihuan Liu, Graduated 2021.
  Defense Topic: Variational Bayes deep neural network: Theory, Methods and Applications.
  Current Affiliation: Manager, Statistics, Abbvie.

• Raka Mandal, Graduated 2020.
  Defense Topic: Quantile Regression and Extremes.
  Current Affiliation: Senior Consultant, FSRM, EY.

• Fatimah Alshahrani, Graduated 2020.
  Defense Topic: Mixture innovations’ based auto-regressive processes with application to sea level rise data.
  Current Affiliation: Visiting Researcher, Rice University.

Master Students

• Joseph Weaver, Graduated 2024.
  Defense Topic: Learning the intrinsic dimension of complex large datasets.
  Current Affiliation: PhD Student, Michigan State University.