معرفی
Maoran Xu serves as an Assistant Professor in the Department of Statistics at Indiana University Bloomington, where he develops advanced probabilistic models for high-dimensional data analysis.
His academic credentials include:
- Ph.D. in Statistics, University of Florida (2018-2022)
- B.S. in Mathematics and Applied Mathematics, Fudan University (2014-2018)
Professor Xu's research program centers on Bayesian inference frameworks with emphasis on efficient sampling and low-dimensional structure discovery. His work tackles critical challenges in high-dimensional data through innovative approaches to latent factors, clustering, and sparse models. He specifically develops optimization-enhanced Bayesian methods for building likelihood-based models on geometric spaces, enabling robust uncertainty quantification for network data and complex structured datasets. His methodologies bridge theoretical statistics with practical applications in modern data science challenges.
Contact information is available through email (mx13@iu.edu) and his professional website (https://xumaoran.com/), with office location in Swain Hall East 229 at Indiana University.
