Bryan Conroy
Post-doctoral Research Scientist
Laboratory for Intelligent Imaging and Neural Computing (LIINC)
Department of Biomedical Engineering
Columbia University
New York, NY 10027
e-mail: bc2468 at columbia dot edu

I am a post-doctoral research scientist in Paul Sajda's LIINC Lab at Columbia University. My research interests lie in signal processing and machine learning, with particular application in the analysis of neuroimaging data. I am currently working on machine learning algorithms for joint classification and multimodal fusion of simultaneous EEG/fMRI data.

In 2010, I obtained a Ph.D. in electrical engineering at Princeton University, advised by Peter Ramadge.
There, I was active in the functional normalization project, which aims to align the cortices of individuals using the functional response of the brain elicited by a movie viewing. This work is in collaboration with the HaxbyLab at Dartmouth College.

  • B.R. Conroy, J.M. Walz, P. Sajda. "Fast Bootstrapping and Permutation Testing for Assessing Reproducibility and Interpretability of Multivariate fMRI Decoding Models," PLoS ONE 8(11): e79271, 2013.
    [pdf] [link]
  • B.R. Conroy, J.M. Walz, B. Cheung, P. Sajda. "Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ)," Journal of Machine Learning Research (In Review).
    [preprint] [supplementary material] [software]
  • B.R. Conroy, B.D. Singer, J.S. Guntupalli, P.J. Ramadge, J.V. Haxby. "Inter-subject Alignment of Human Cortical Anatomy using Functional Connectivity," NeuroImage, Vol. 81, 1 November 2013, Pages 400-411.
  • B.R. Conroy, P. Sajda. "Fast, Exact Model Selection and Permutation Testing for l2-Regularized Logistic Regression," Accepted to AISTATS 2012, April 21-23, La Palma, Canary Islands.
    [pdf] [supplementary material] [software]
  • J.V. Haxby, J.S. Guntupalli, A.C. Connolly, Y.O. Halchenko, B.R. Conroy, M.I Gobbini, M. Hanke, P.J. Ramadge. "A common, high-dimensional model of the representational space in human ventral temporal cortex." Neuron, 2011.
  • B.R. Conroy, P.J. Ramadge. "The Grouped Two-Sided Orthogonal Procrustes Problem," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), May 22-27, Prague, Czech Republic.
  • B.R. Conroy, Y.T. Xi, P.J. Ramadge. "A Supervisory Approach to Semi-Supervised Clustering," IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP 2010), March 14-19, Dallas, TX.
  • B.R. Conroy, B.D. Singer, J.V. Haxby, P.J. Ramadge. "fMRI-Based Inter-Subject Cortical Alignment Using Functional Connectivity," Advances in Neural Information Processing Systems (NIPS 2009).
    [pdf] [supplementary material]
  • M.R. Sabuncu, B.D. Singer, B. Conroy, R.E. Bryan, P.J. Ramadge, J.V. Haxby. "Function-based Intersubject Alignment of Human Cortical Anatomy," Cerebral Cortex, 2009.
    [link] [software]
  • B.R. Conroy, J. Muraskin, P. Sajda. "Fusing Simultaneous EEG-fMRI by Linking Multivariate Classifiers," NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), December 2013, Lake Tahoe, NV.
  • B.R. Conroy, J.M. Walz, P. Sajda. "Fast validation testing of sparse classification and regression models for multi-voxel fMRI analysis," Human Brain Mapping Conference, Seattle, WA, June, 2013.
  • B. Conroy, J.M. Walz, P. Sajda. "Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ) for Multi-voxel Pattern Analysis in fMRI," NIPS Workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), December 2012, Lake Tahoe, NV.
  • B. Conroy, P. Sajda. "Multivariate Analysis of fMRI using Fast Simultaneous Training of Generalized Linear Models (FaSTGLZ)," ICML Workshop on Statistics, Machine Learning and Neuroscience (STAMLINS), July 2012, Edinburgh, Scotland.
  • B. Conroy, B. Singer, P. Ramadge, J. Haxby. "Inter-subject alignment of functional areas using functional connectivity." Poster presented at Neuroscience 2008, Washington D.C., November, 2008.
  • B. Conroy, B. Singer, P. Ramadge, J. Haxby. "Inter-subject functional connectivity alignment." Poster presented at the 14th Annual Human Brain Mapping Conference, Melbourne, Australia, June, 2008.