Statistics & Data Science Faculty
Barbara Bailey
Associate 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]
Associate 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
Assistant 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]
Assistant 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
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
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]
C.D. (Joey) Lin
Associate Professor, Statistics Associate Chair
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
[email protected]
Associate Professor, Statistics Associate Chair
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
[email protected]
Henry Scharf
Assistant Professor
Bayesian Statistics, Spatio-Temporal Statistics, Ecological Applications, Computational Statistics
GMCS-518
https://hscharf.sdsu.edu/
[email protected]
Assistant Professor
Bayesian Statistics, Spatio-Temporal Statistics, Ecological Applications, Computational Statistics
GMCS-518
https://hscharf.sdsu.edu/
[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
Robert Riffenburgh
Chief of Biostatistics (Retired),
Naval Medical Center San Diego
https://robertriffenburgh.com/
[email protected]
Chief of Biostatistics (Retired),
Naval Medical Center San Diego
https://robertriffenburgh.com/
[email protected]
