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Michele Guindani



DepartmentsType of Faculty
BiostatisticsFull Time
Contact Information

76-062B CHS

Areas of Interest: 

Biostatistics, Data Science, Machine Learning, Statistical decision-making under Uncertainty, Multiple comparison problems, Statistical Imaging, Clinical Trials, Study Design, Clustering, Bayesian modeling, and Bayesian Nonparametric models. Domains of Application: Analysis of high-dimensional data, Functional Data, Time Series, Neuroscience, Radiomics, Integrative genomics, Microbiome data.

Dr. Guindani received his Ph.D. degree in Statistics from Università Bocconi (Milan, Italy) in 2005 under the supervision of Sonia Petrone (Department of Decision Sciences, Università Bocconi, Italy) and Alan E. Gelfand (Department of Statistical Sciences, Duke University). From 2005 to 2007, Dr. Guindani was a postdoctoral fellow in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center, working with Peter Mueller and Gary L. Rosner.

Dr. Guindani obtained his first faculty position as an Assistant Professor in Statistics in the Department of Mathematics and Statistics at the University of New Mexico (2007–2010). He then held a position as Assistant Professor (with the award of tenure) in the Department of Biostatistics at the University of Texas MD Anderson Cancer Center (2010-2016). From 2016 to June 2022, he held a position as Professor in the Department of Statistics of the Donald Bren School of Information and Computer Sciences at the University of California, Irvine (UCI).

Dr. Guindani is a Fellow of the American Statistical Association (ASA) and the International Society for Bayesian Analysis (ISBA).

Dr. Guindani is committed to fostering a diverse, equitable and inclusive doctoral experience for all students.

Ph.D., Statistics (2005), Università Bocconi, Milano
This faculty member is available to serve as: 
Doctoral Advisor
Masters Advisor
PhD Committee Member
DrPH Committee Member
MS Thesis Committee Member
MS Report Committee Member

Please check with the faculty member or their office about availability to serve during current academic period.