معرفی
D. Andrew Brown is a Full Professor of Statistics in the School of Mathematical and Statistical Sciences at Clemson University. He received his PhD and MS in Statistics from the University of Georgia (2013 and 2010, respectively) and his BS in Applied Mathematics from Georgia Tech (2006).
His educational background includes:
- PhD, Statistics, University of Georgia, 2013
- MS, Statistics, University of Georgia, 2010
- BS, Applied Mathematics, Georgia Tech, 2006
Dr. Brown's research focuses on uncertainty quantification, neuroimaging data analysis, and Bayesian modeling and computation. His work bridges statistical theory with practical applications in neuroscience and engineering. He has made significant contributions to the development of Bayesian methods for analyzing complex-valued fMRI data, spatial binary regression for neuroimaging, and Gaussian process modeling with functional constraints. His research demonstrates exceptional mathematical sophistication in handling complex data structures while maintaining computational feasibility.
His recent publications reveal a strong trend toward sophisticated Bayesian approaches for neuroimaging data analysis, particularly focusing on complex-valued fMRI data. His work spans multiple disciplines including neuroscience, materials science, and engineering through statistical modeling and computer model calibration. The consistent publication record across top statistical journals demonstrates both methodological innovation and practical relevance of his work.
Dr. Brown has received recognition for his work, including being named a Visiting Research Fellow at the Statistical and Applied Mathematical Sciences Institute in Spring 2016. He is an active member of several professional organizations:
- American Statistical Association
- International Society for Bayesian Analysis
- Society for Industrial and Applied Mathematics
As a first-generation college student who was promoted to Full Professor in August 2025, Dr. Brown acknowledges the importance of mentorship and support in academic success. His professional journey reflects dedication to both research excellence and academic service, with particular attention to supporting underrepresented populations in STEM pathways.
Dr. Brown maintains active collaborations across disciplines and has contributed to research in neuroscience, materials science, and engineering through his statistical methodology development. His work demonstrates how advanced statistical methods can solve real-world problems across scientific domains.
