PhD students: I am only able to directly supervise PhD students who have passed the Statistics PhD Qualifying Exam at the University of South Carolina. If you are interested in applying to the Statistics PhD program at the University of South Carolina but are not yet enrolled as a student, please visit the USC Statistics graduate program information page. Note that PhD students are admitted by the department, not by individual faculty.

Priority for PhD advising is given to students who are interested in or who have experience in (at least) one of the following areas: (i) high-dimensional modeling/scalable inference, (ii) Bayesian statistics, (iii) deep learning. In addition, students who have strong programming skills and a strong foundation in mathematical analysis, linear algebra, and optimization or Bayesian computation (e.g. MCMC) are preferred.

Undergraduate and Masters students: Feel free to reach out to me about research opportunities. Priority is given to students with whom I have interacted before through courses or other opportunities. You must have taken at the minimum STAT 511-512 and MATH 344 to work with me. Students who have experience with R or Python are preferred.

Current students and alumni