People

Principal Investigator

Didong Li (李螮蝀), Ph.D.

Assistant Professor, Department of Biostatistics

Adjunct Assistant Professor, Department of Statistics and Operations Research

Affiliated Faculty, Carolina Center for Interdisciplinary Applied Mathematics

Ph.D., Mathematics, Duke University

M.S., Statistics, Duke University

M.S., Mathematics, Beijing Institute of Technology

B.S., Mathematics, Beijing Institute of Technology

Current Members

Jordan Grey Bryan, Ph.D.

Postdoctoral Fellow

Ph.D., Statistics, Duke University

B.S., Mathematics, Stanford University

Research interests: semiparametric models, multivariate statistics, Bayesian statistics

Jiawen Chen (陈嘉雯)

PhD Candidate

M.S., Statistics, University of Wisconsin-Madison

B.S., Statistics, East China Normal University

Research interests: machine learning and deep learning in genetics, spatial methods

Sam Hawke

PhD Candidate

B.S., Mathematical Sciences, Carnegie Mellon University

Research interests: machine learning, dimension reduction, contrastive models.

Luna (left)  Momo (right)

Michael Jetsupphasuk

PhD Candidate

B.A., Statistics, University of California, Berkeley

B.A., Economics, University of California, Berkeley

Research interests: causal inference, quasi-experimental studies, spatial statistics


Eric Zhang

PhD Candidate

B.A., Mathematics, Cornell University

B.A., Statisitcs, Cornell University

Research interests: dimension reduction, time series, high dimensional statistics, machine learning

Hong Niu

PhD Candidate

B.S., Mathematics, Duke University

B.S., Computer Science, Duke University

Research interests: machine learning, deep learning, precision medicine, environmental health

Kevin Wang

PhD Candidate

B.S., Mathematics, University of California, Santa Barbara

Research interests: Space methodology in Nonparametric regression, Spline Smoothing, Gaussian Process Regression, Meshfree Approximation, and Feature Extraction. Numerical and computational math, including large eigenvalue problems, numerical linear algebra, numerical ODE/PDE, and Quasi-Monte Carlo. Aggregate data methods for non-linear mixed models.

Yin Liu (刘茵)

PhD Candidate

M.S., Biostatistics, University of North Carolina at Chapel Hill

B.S., Biotechnology, Xidian University

Research interests: survival analysis, machine learning, resampling techniques

Ameer Qaqish

PhD Student

B.S., Mathematics, University of North Carolina at Chapel Hill

B.S., Computer Science, University of North Carolina at Chapel Hill

Yun Jin (Christine) Park (박윤진)

PhD Student

M.S., Biostatistics, University of North Carolina at Chapel Hill

B.S., Life Science, Korea University

Research interests: network analysis, machine learning

Thomas Joyce

PhD Student

B.S., Applied and Computational Mathematics and Statistics, University of Notre Dame

Research interests: machine learning, spatial statistics, causal inference, environmental health

Shiyi Yang (杨师仪)

PhD Student

M.S., Biostatistics, University of North Carolina at Chapel Hill

B.S., Statistics, Southern University of Science and Technology

Cuiran (Vivian) Shi (施翠然)

MS student

B.S., Statistics, Beijing Normal University-Hong Kong Baptist University United International College

Research interests: Network analysis

Jinwei Zhang (张津玮)

MS student

B.S., Statistics, Beijing Normal University-Hong Kong Baptist University United International College

Alumni

Wancen Mu

PhD 2024

Placement: Research Scientist, Meta

Seowoo Kim

MS 2024

Placement: Research Bioinformatician, UNC Lineberger Comprehensive Cancer Center