Benjamin Risk
Associate Professor
Faculty, Biostatistics and Bioinformatics
Benjamin Risk’s research focuses on neuroimaging and aims to further scientific understanding and medical research by developing, improving, and disseminating statistical methodology.
Areas of Interest
Biostatistics; neuroimaging; cognitive science; MRI; spatio-temporal processes; dimension reduction; multivariate statistics; independent component analysis; autism; Alzheimer's disease; Parkinson's disease
- View publications on Google Scholar
- View publications on PubMed
Contact Information
1518 Clifton Rd,NE
Atlanta , GA 30322
1518-002-3AA
Phone: 404-712-5081
Email: benjamin.risk@emory.edu
Education
- BA 2003, Dartmouth College
- MS 2009, UC Berkeley
- PhD 2015, Cornell University
Courses Taught
- BIOS 526: Modern Regression Analysis
- BIOS 780R: Research Methods-Biostatistics
Affiliations & Activities
Center for Biomedical Imaging Statistics
Morris K. Udall Center Center of Excellence for Parkinson's Research
Publications
- MB Nebel, DE Lidstone, L Wang, D Benkeser, SH Mostofsky, BB Risk , 2022, Accounting for motion in resting-state fMRI: What part of the spectrum are we characterizing in autism spectrum disorder? , NeuroImage, 257,
- Y Zhao, DS Matteson, SH Mostofsky, MB Nebel, BB Risk , 2022, Group linear non-Gaussian component analysis with applications to neuroimaging , Computational statistics & data analysis, 171,
- RJ Murden, Z Zhang, Y Guo, BB Risk , 2022, Interpretive JIVE: Connections with CCA and an application to brain connectivity , Frontiers in Neuroscience, 16,
- BB Risk, I Gaynanova , 2021, Simultaneous non-Gaussian component analysis (SING) for data integration in neuroimaging , The Annals of Applied Statistics , 15, 1431-1454
- BB Risk, RJ Murden, J Wu, MB Nebel, A Venkataraman, Z Zhang, D Qiu , 2021, Which multiband factor should you choose for your resting-state fMRI study? , NeuroImage, 234,
- S Kundu, BB Risk , 2020, Scalable Bayesian matrix normal graphical models for brain functional networks , Biometrics, 77, 439-450
- BB Risk, H Zhu, 2019, ACE of space: estimating genetic components of high-dimensional imaging data , Biostatistics, 22, 131-147
- BB Risk, DS Matteson, D Ruppert, 2019, Linear Non-Gaussian Component Analysis Via Maximum Likelihood, Journal of the American Statistical Association, 114, 332-343
- Qunqun Yu, Benjamin B. Risk, Kai Zhang, J.S. Marron, 2017, JIVE integration of imaging and behavioral data, NeuroImage, 152, 38-49
- Benjamin B. Risk, David S. Matteson, R. Nathan Spreng, David Ruppert, 2016, Spatiotemporal mixed modeling of multi-subject task fMRI via the method of moments, NeuroImage, 142, 280-292
- BB Risk, DS Matteson, D Ruppert, A Eloyan, BS Caffo, 2013, An evaluation of independent component analyses with an application to resting-state fMRI , Biometrics, 70, 224-236