Psychiatric and Neurodevelopmental Genetics Unit
Center for Human Genetic Research
Massachusetts General Hospital
Richard B. Simches Research Center
185 Cambridge Street
Boston, MA 02114
Dr. Ge is interested in developing novel mathematical and statistical methods for neuroimaging data analysis and imaging genetics. The long-term goal is to discover and characterize the genetic influences on the structure and function of the human brain, and enhance the understanding of the genetic underpinnings of psychiatric disorders using brain images as endophenotypes.
Dr. Ge earned his B.Sc. in Mathematics and Applied Mathematics in 2009 from Fudan University. He was in a joint Ph.D. program between University of Warwick and Fudan University, and earned his Ph.D. in Computer Science in 2013 from University of Warwick, and Ph.D. in Applied Mathematics in 2014 from Fudan University. His PhD advisors were Jianfeng Feng, Ph.D., and Thomas E. Nichols, Ph.D.
T. Ge, N. Müller-Lenke, K. Bendfeldt, T.E. Nichols, and T.D. Johnson. Analysis of multiple sclerosis lesions via spatially varying coefficients. The Annals of Applied Statistics, in press, 2014.
Q. Luo, T. Ge, F. Grabenhorst, J. Feng, and E.T. Rolls. Attention-dependent modulation of cortical circuits revealed by Granger causality with signal-dependent noise. PLoS Computational Biology, 9(10): e1003265, 2013.
P.M. Thompson, T. Ge, D.C. Glahn, N. Jahanshad and T.E. Nichols. Genetics of the connectome. NeuroImage, 80: 475-488, 2013.
T. Ge, J. Feng, D.P. Hibar, P.M. Thompson, and T.E. Nichols. Increasing power for voxel-wise genome-wide association studies: The random field theory, least square kernel machines and fast permutation procedures. NeuroImage, 63(2): 858-873, 2012.
T. Ge, W. Lin, and J. Feng. Invariance principles allowing of non-Lyapunov functions for estimating attractor boundaries of discrete dynamical systems. IEEE Transactions on Automatic Control, 57(2): 500-505, 2012.