David Degras-Valabregue

David Degras-Valabregue is an Associate Professor in the Department of Mathematics at the University of Massachusetts Boston, within the College of Science and Mathematics. He holds a Ph.D. in Statistics from Université Paris VI (France) and has held roles including Postdoctoral Researcher at SAMSI (2010-2011) and Assistant Professor at DePaul University. His research focuses on high-dimensional statistics, functional data analysis, machine learning, and neuroimaging applications.

Education:

• Ph.D. in Statistics, Université Paris VI, 2008
• Postdoctoral Research, Statistical and Applied Mathematical Sciences Institute (SAMSI), 2010-2011

Research Interests: Dr. Degras-Valabregue's work bridges theoretical statistics and applied domains. He develops scalable algorithms for high-dimensional data, including feature matching in large collections and neuroimaging analysis via Markov-switching models. His contributions to functional data analysis include simultaneous confidence bands and sparse group fused lasso techniques for model segmentation. He also explores machine learning applications in healthcare and altruism studies.

Publications Overview: His work spans statistical methodology and interdisciplinary applications. Recent contributions address neuroimaging analysis, algorithmic scalability in high dimensions, and statistical computing. He has developed R packages such as 'onlinePCA' and 'SCBmeanfd' for statistical analysis.

Affiliations & Software:

• Developed R packages for functional data analysis and online PCA
• Contributions to neuroimaging and gene expression research