People
Principal Investigator
Principal Investigator
Didong Li (李螮蝀), Ph.D.
Didong Li (李螮蝀), Ph.D.
Assistant Professor, Department of Biostatistics
Assistant Professor, Department of Biostatistics
Adjunct Assistant Professor, Department of Statistics and Operations Research
Adjunct Assistant Professor, Department of Statistics and Operations Research
Affiliated Faculty, Carolina Center for Interdisciplinary Applied Mathematics
Affiliated Faculty, Carolina Center for Interdisciplinary Applied Mathematics
Ph.D., Mathematics, Duke University
Ph.D., Mathematics, Duke University
M.S., Statistics, Duke University
M.S., Statistics, Duke University
M.S., Mathematics, Beijing Institute of Technology
M.S., Mathematics, Beijing Institute of Technology
B.S., Mathematics, Beijing Institute of Technology
B.S., Mathematics, Beijing Institute of Technology
Current Members
Current Members
Jordan Grey Bryan, Ph.D.
Jordan Grey Bryan, Ph.D.
Postdoctoral Fellow
Postdoctoral Fellow
Ph.D., Statistics, Duke University
Ph.D., Statistics, Duke University
B.S., Mathematics, Stanford University
B.S., Mathematics, Stanford University
Research interests: semiparametric models, multivariate statistics, Bayesian statistics
Research interests: semiparametric models, multivariate statistics, Bayesian statistics
Jiawen Chen (陈嘉雯)
Jiawen Chen (陈嘉雯)
PhD Candidate
PhD Candidate
M.S., Statistics, University of Wisconsin-Madison
M.S., Statistics, University of Wisconsin-Madison
B.S., Statistics, East China Normal University
B.S., Statistics, East China Normal University
Research interests: machine learning and deep learning in genetics, spatial methods
Research interests: machine learning and deep learning in genetics, spatial methods
Sam Hawke
Sam Hawke
PhD Candidate
PhD Candidate
B.S., Mathematical Sciences, Carnegie Mellon University
B.S., Mathematical Sciences, Carnegie Mellon University
Research interests: machine learning, dimension reduction, contrastive models.
Research interests: machine learning, dimension reduction, contrastive models.
Luna (left) Momo (right)
Luna (left) Momo (right)
Michael Jetsupphasuk
Michael Jetsupphasuk
PhD Candidate
PhD Candidate
B.A., Statistics, University of California, Berkeley
B.A., Statistics, University of California, Berkeley
B.A., Economics, University of California, Berkeley
B.A., Economics, University of California, Berkeley
Research interests: causal inference, quasi-experimental studies, spatial statistics
Research interests: causal inference, quasi-experimental studies, spatial statistics
Eric Zhang
Eric Zhang
PhD Candidate
PhD Candidate
B.A., Mathematics, Cornell University
B.A., Mathematics, Cornell University
B.A., Statisitcs, Cornell University
B.A., Statisitcs, Cornell University
Research interests: dimension reduction, time series, high dimensional statistics, machine learning
Research interests: dimension reduction, time series, high dimensional statistics, machine learning
Hong Niu
Hong Niu
PhD Student
PhD Student
B.S., Mathematics, Duke University
B.S., Mathematics, Duke University
B.S., Computer Science, Duke University
B.S., Computer Science, Duke University
Research interests: machine learning, deep learning, precision medicine, environmental health
Research interests: machine learning, deep learning, precision medicine, environmental health
Kevin Wang
Kevin Wang
PhD Student
PhD Student
B.S., Mathematics, University of California, Santa Barbara
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.
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.
Ameer Qaqish
Ameer Qaqish
PhD Student
PhD Student
B.S., Mathematics, University of North Carolina at Chapel Hill
B.S., Mathematics, University of North Carolina at Chapel Hill
B.S., Computer Science, University of North Carolina at Chapel Hill
B.S., Computer Science, University of North Carolina at Chapel Hill
Yun Jin (Christine) Park (박윤진)
Yun Jin (Christine) Park (박윤진)
Master Student
Master Student
B.S., Life Science, Korea University
B.S., Life Science, Korea University
Research interests: network analysis, machine learning
Research interests: network analysis, machine learning
Alumni
Alumni
Wancen Mu
Wancen Mu
PhD 2024
PhD 2024
Current: Research Scientist, Meta
Current: Research Scientist, Meta
Seowoo Kim
Seowoo Kim
MS 2024
MS 2024