Michele Guindani
Short Bio
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).
In 2016, he joined the Department of Statistics of the Donald Bren School of Information and Computer Sciences at the University of California, Irvine (UCI) where he remained till he joined the Department of Biostatistics at UCLA in 2022.
Honors and Awards
Dr. Guindani is a Fellow of the American Statistical Association (ASA) and the International Society for Bayesian Analysis (ISBA). He is also an elected member of the International Statistical Institute.
Main Professional Commitments
- Co-Editor, Computational Statistics and Data Analysis (2026 – present)
- Founding Co-Editor, Statistics and Data Science in Imaging (2024 – present)
- Chief Statistical Advisor, Nature Medicine (2024 – present)
- Associate Editor, Biometrics (2016-present)
- Associated Editor, Econometrics and Statistics (2018-present)
Selected Previous Professional Commitments
- 2025 President, International Society for Bayesian Analysis (ISBA)
- Member, Executive Council (2024-2026), International Society for Bayesian Analysis (ISBA)
- 2025 Chair, ASA Section on Statistics in Imaging
- 2024 Chair, ASA Section on Bayesian Statistical Science
- 2023-2025 Membership Engagement Chair, AAAS Section U on Statistics
- Editor-in-Chief of the journal Bayesian Analysis (2019-2021)
- Co-Editor, Bayesian Analysis (2016-2018)
- Associate Editor, Journal of the American Statistical Association, Theory and Methods (2023-2026)
- Associate Editor, Bayesian Analysis (2014-2016)
- Associate Editor, Computational Statistics and Data Analysis (2015-2018)
- Member, Board of Directors (2018-2020), International Society of Bayesian Analysis (ISBA)
- Co-Chair, CFE-CMStatistics 2017 conference, London, UK, 16-18 December 2017
- Member of the Program Council, International Society for Bayesian Analysis (ISBA) (2014-2016)
- Program chair of the Scientific Committee of the ISBA 2016 World Meeting (Forte Village, Sardinia, Italy, June 13-17th, 2016)
- Program Chair, International Society for Bayesian Analysis (2015)
Pledge to Diversity
Dr. Guindani is committed to fostering a diverse, equitable, and inclusive doctoral experience for all students.
Education
- PhD, Statistics, Università Bocconi, Milano, 2005
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 Nonparametric Bayesian models.
Main domains of Application: Analysis of high-dimensional data in medical and basic research. Expert in handling functional data, time series, data from the Neurosciences, Radiomics, Genomics (including microbiome data), and integrative multilevel/multimodal approaches to data science.