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Faculty member in the Psychiatric & Neurodevelopmental Genetics Unit at Massachusetts General Hospital
Massachusetts General HospitalRichard B. Simches Research Center185 Cambridge Street Boston, MA 02114 Email: firstname.lastname@example.org
Tian Ge, PhD, is an applied mathematician and biostatistician who works at the intersection of neuroimaging science, genetics and statistics. His current research focuses on developing statistical and computational methods to integrate large-scale imaging and genomic data. Dr. Ge received his BS in mathematics and PhD in applied mathematics from Fudan University, and a PhD in computer science from University of Warwick. He did his postdoctoral training under the mentorship of Dr. Mert Sabuncu and Dr. Smoller at Mass General and Harvard Medical School. He is currently a junior faculty member at PNGU and is also affiliated with the Athinoula A. Martinos Center for Biomedical Imaging at Mass General.
Learn more on Dr. Ge's personal webpage.
Selected PublicationsT. 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.
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