Statistics & Data Science Faculty
Barbara Bailey
Professor, Statistics Programs Advisor
Nonlinear Modeling, Statistical Learning, Time Series Analysis, Quantile Regression, Biomedical and Ecological Applications
GMCS-513
https://edoras.sdsu.edu/~babailey/
[email protected]
Professor, Statistics Programs Advisor
Nonlinear Modeling, Statistical Learning, Time Series Analysis, Quantile Regression, Biomedical and Ecological Applications
GMCS-513
https://edoras.sdsu.edu/~babailey/
[email protected]
Jianwei Chen
Associate Professor
Non-parametric Regression, Dynamic Models, Mixed Effects Models, Biostatistical Methods, and Optimal Bayesian Sampling Design
GMCS-573
[email protected]
Associate Professor
Non-parametric Regression, Dynamic Models, Mixed Effects Models, Biostatistical Methods, and Optimal Bayesian Sampling Design
GMCS-573
[email protected]
Juanjuan Fan
Professor
Survival Analysis, Machine Learning, Observational Study Data, Longitudinal and Clustered Data, Educational Data Mining, Biomedical Applications
GMCS-519
https://edoras.sdsu.edu/~jjfan/
[email protected]
Professor
Survival Analysis, Machine Learning, Observational Study Data, Longitudinal and Clustered Data, Educational Data Mining, Biomedical Applications
GMCS-519
https://edoras.sdsu.edu/~jjfan/
[email protected]
Kyle Hasenstab
Associate Professor
Machine Learning, Deep Neural Networks, Explainable AI, Biomedical Image Analysis, Image Processing, Longitudinal Data Analysis, Functional Data Analysis
GMCS-522
https://kahasenstab.sdsu.edu/
[email protected]
Associate Professor
Machine Learning, Deep Neural Networks, Explainable AI, Biomedical Image Analysis, Image Processing, Longitudinal Data Analysis, Functional Data Analysis
GMCS-522
https://kahasenstab.sdsu.edu/
[email protected]
Richard Levine
Professor, Statistics Associate Chair
Department Chair 2011-2014
Machine Learning, Learning Analytics and Educational Data Mining, Monte Carlo Methods Including Markov Chain Monte Carlo, Bayesian Decision Theory, Sports Statistics
GMCS-565
http://edoras.sdsu.edu/~ralevine/
[email protected]
Professor, Statistics Associate Chair
Department Chair 2011-2014
Machine Learning, Learning Analytics and Educational Data Mining, Monte Carlo Methods Including Markov Chain Monte Carlo, Bayesian Decision Theory, Sports Statistics
GMCS-565
http://edoras.sdsu.edu/~ralevine/
[email protected]
Xiyue Liao
Assistant Professor
Shape-restricted regression, change-point estimation, machine learning, survey statistics, biostatistics, and actuarial science
GMCS-514
https://sites.google.com/[...]
[email protected]
Assistant Professor
Shape-restricted regression, change-point estimation, machine learning, survey statistics, biostatistics, and actuarial science
GMCS-514
https://sites.google.com/[...]
[email protected]
C.D. (Joey) Lin
Professor
Longitudinal Data Analysis, Optimal Design, Statistical Computing, Data analytics, Statistical Methods in Clinical Trials, Big Data Analytics, Mixed Effect Modelings, Sample Size Calculation and Power Analysis
GMCS-515
https://edoras.sdsu.edu/~cdlin/
[email protected]
Professor
Longitudinal Data Analysis, Optimal Design, Statistical Computing, Data analytics, Statistical Methods in Clinical Trials, Big Data Analytics, Mixed Effect Modelings, Sample Size Calculation and Power Analysis
GMCS-515
https://edoras.sdsu.edu/~cdlin/
[email protected]
Xin Wang
Assistant Professor
Spatial data analysis, Bayesian statistics, Survey sampling, Heterogeneous regression models, Clustering
GMCS-516
https://wangx23.github.io/
[email protected]
Assistant Professor
Spatial data analysis, Bayesian statistics, Survey sampling, Heterogeneous regression models, Clustering
GMCS-516
https://wangx23.github.io/
[email protected]
Adjunct Statistics & Data Science Faculty
Joseph Barr
Managing Partner, SpecterMetrix
Chairman, Analytics Committee Interest Group, Software San Diego
[email protected]
Managing Partner, SpecterMetrix
Chairman, Analytics Committee Interest Group, Software San Diego
[email protected]
Statistics & Data Science Lecturers
Kristin Duncan
Lecturer, Coordinator: Stat-250 Statistical Principles and Practices
GMCS-580
[email protected]
Lecturer, Coordinator: Stat-250 Statistical Principles and Practices
GMCS-580
[email protected]
Max Velado
Lecturer, Coordinator: Stat-119 Elementary Statistics for Business
GMCS-508
[email protected]
Lecturer, Coordinator: Stat-119 Elementary Statistics for Business
GMCS-508
[email protected]
Statistics & Data Science Retired & Emeritus
Robert Riffenburgh
Professor Emeritus;
Chief of Biostatistics (Retired),
Naval Medical Center San Diego
https://robertriffenburgh.com/
[email protected]
Professor Emeritus;
Chief of Biostatistics (Retired),
Naval Medical Center San Diego
https://robertriffenburgh.com/
[email protected]