April 27, 2025 – Rice University campus
Current students:
Yangqianzi Jiang, Arya Muralidharan, Zhihao Chen, Rose Graves, Janet Fu
Former students:
[31] Rongke Lyu (Ph.D. 2025, Rice University).
Thesis title: Bayesian tensor modeling of high-dimensional neuroimaging data.
Data Scientist at Travis County Auditor’s Office, Austin, TX
[30] Mauro Florez Rozo (Ph.D. 2025, Rice University).
Thesis title: Bayesian modeling of multivariate mixed data.
At Amazon, Seattle, WA
[29] Yangfan Ren (Ph.D. 2025, Rice University).
Thesis title: Flexible Bayesian models for varying-effects regression.
Data Scientist at Meta, Menlo Park, CA.
[28] Zijian Zeng (Ph.D. 2023, Rice University)
Thesis title: Advanced Bayesian models for dependent data.
Winner, James R. Thompson Graduate Student Award, Rice University.
Currently at PROS, USA
[27] Mingrui (Scott) Liang (Ph.D. 2023, Rice University)
Thesis title: Bayesian models for mHealth data in smoking cessation studies.
Currently at Wells Fargo, USA
[26] Chunshan Liu (Ph.D. 2022, Rice University)
Thesis title: Bayesian graphical models for multivariate time series.
Currently at Lutron Electronics, USA
[25] Emily Wang (Ph.D. 2022, Rice University).
Thesis title: Bayesian state-space models with variable selection for neural count data.
Winner, ISBA Savage Award for Best Thesis in Applied Methodology.
Currently at CommonSpirit Health, USA
[24] Nathan Osborne (Ph.D. 2021, Rice University)
Thesis: Advances in Bayesian approaches for directed and undirected graphical models.
Currently at Intuit, USA
[23] Yinsen Miao (Ph.D. 2019, Rice University).
Thesis title: Scalable Bayesian algorithms for quantitative geosteering.
Winner, Inaugural James R. Thompson Graduate Student Award, Rice University.
Currently at Fidelity Investments, USA
[22] Jeong Hwan (Eric) Kook (Ph.D. 2019, Rice University).
Thesis title: Variational inference for Bayesian variable selection with applications to biomedical data.
Currently Associate Principal Scientist at Merck, USA
[21] Elin Shaddox (Ph.D. 2019, Rice University).
Thesis title: Bayesian graphical models for multiple networks.
Currently at Foundation Medicine, USA
[20] Ryan Warnick (Ph.D. 2018, Rice University).
Thesis title: Bayesian joint graphical modeling approaches for covariance and dynamic functional connectivity analysis from neuroimaging data.
Currently at Microsoft Security Research, USA
[19] Duncan Wadsworth (Ph.D. 2016, Rice University).
Thesis title: Bayesian methods for the analysis of microbiome data.
Currently at Apple, Seattle, WA
[18] Qiwei Li (Ph.D. 2016, Rice University).
Thesis title: Bayesian models for high-dimensional count data with feature selection.
Currently Assistant Professor of Statistics, UT Dallas, TX
[17] Sharon Chiang (Ph.D. 2016, Rice University, M.D. 2018 BCM).
Thesis title: Hierarchical Bayesian models for multimodal neuroimaging data.
Currently Neurology Resident, U. California at San Francisco, CA
[16] Linlin Zhang (Ph.D. 2015, Rice University).
Thesis title: Bayesian nonparametric models for fMRI data.
Honorable mention, ISBA Savage Award for Best Thesis in Applied Methodology.
[15] Christine Peterson (Ph.D. 2013, Rice University).
Thesis title: Bayesian graphical models for biological network inference.
Winner, ISBA Savage Award for Best Thesis in Applied Methodology.
Currently Associate Professor of Biostatistics, UT MD Anderson Cancer Center, TX
[14] Alberto Cassese (Ph.D. 2013, University of Florence – Italy).
Thesis title: A hierarchical Bayesian modeling approach to genetical genomics data with measurement error.
Currently Assistant Professor of Statistics, University of Florence, Italy
[13] Beibei Guo (Ph.D. 2010, Rice University).
Thesis title: Statistical methods for bioinformatics: estimation of copy number and detection of gene interactions.
Currently Associate Professor of Statistics, Louisiana State U., LA
[12] Colleen Kenney (Ph.D. 2010, Rice University).
Thesis title: On the separation of T Tauri star spectra using non-negative matrix factorization and Bayesian positive source separation.
Deceased
[11] Terrance Savitsky (Ph.D. 2010, Rice University).
Thesis title: Generalized Gaussian process models with Bayesian variable selection.
Currently Senior Research Statistician, US Bureau of Labor Statistics, USA
[10] Francesco Stingo (Ph.D. 2010, University of Florence – Italy).
Thesis title: Bayesian methods for data integration with variable selection: new challenges in the analysis of genomic data.
Winner of the Italian Statistical Society prize Best Doctoral Thesis in Statistics.
Currently Professor of Statistics, University of Florence, Italy.
[9] Jaesik Jeong (Ph.D. 2008, Texas A&M University)
Thesis title: Some applications of wavelets to time series data.
Professor, Dept. of Statistics, Chonnam National University, Republic of Korea.
[8] Sang Han Lee (Ph.D. 2007, Texas A&M University)
Thesis title: Estimating and testing of functional data with restrictions.
Currently Research Associate Professor, NYU School of Medicine, NY.
[7] Sinae Kim (Ph.D. 2006, Texas A&M University)
Thesis title: Bayesian variable selection in clustering via Dirichlet process mixture model.
Winner, E. Parzen Fellowship Award, Texas A&M University.
Director at Bristol Myers Squibb, New Jersey, NJ.
[6] Deukwoo Kwon (Ph.D. 2005, Texas A&M University)
Title: Wavelet methods and statistical applications: network security and bioinformatics.
Currently Associate Professor, Clinical & Transl. Sciences, UT Health, Houston, TX.
[5] Kyungduk Ko (Ph.D. 2004, Texas A&M University)
Thesis title: Bayesian wavelet approaches for parameter estimation and change point detection in long memory processes.
Currently Associate Professor, Department of Mathematics, Boise State University, ID.
[4] Chun Gun Park (Ph.D. 2003,Texas A&M University)
Thesis title: MCMC methods for wavelet representations in single-index models.
Currently Professor, Kyonggi University, Republic of Korea.
[3] Naijun Sha (Ph.D. 2002, Texas A&M University)
Thesis title: Boltering CART and Bayesian variable selection for classification.
Currently Associate Professor, Dept of Mathematical Sciences, UT El Paso, TX.
[2] Francesco Gabbanini (Ph.D. 2002, University of Florence – Italy)
Thesis title: Analysis of data from the monitoring system installed on the Dome of Santa Maria del Fiore (in Italian).
Senior Lead Solutions Architect, Eli Lilly, Italy.
[1] Leonardo Fabbroni (Ph.D. 2001, University of Florence – Italy)
Title: The detection of transient signals via discrete wavelet representation (in Italian).
Winner of the Italian Statistical Society prize Best Doctoral Thesis in Statistics
