Department of Statistics, University of Illinois
   Department of Statistics                               UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN
 
 

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 Michelle (Yongmei) Wang

Associate Professor of Statistics, Psychology and Bioengineering

Ph.D. in Electrical Engineering, Yale University

Website


Research Interests

  • Structural and Functional neuroimage analysis and measurement
  • Statistical inference and geometrical modeling for biomedical imaging and computation
  • Mathematical modeling and mining of fMRI time series and neuronal data/signals
  • Computational and Cognitive neuroscience
  • Multi-modal integration of neuroscience data

Honors and Appointments

  • Neuroimage Fellowship Award, Yale University (1999-2000)
  • Assistant Professor, Dept. of Information Engineering, Chinese University of Hong Kong (2001-2002)
  • Associate Research Scientist, Diagnostic Radiology and Electrical Engineering, Yale University (2002-2004)
  • Assistant Professor, Departments of Statistics, Psychology and Bioendgineering, UIUC (2004-2011)
  • Associate Professor, Departments of Statistics, Psychology, and Bioengineering, UIUC (2011-)
  • Assistant and Associate Professor, Beckman Institute for Advanced Science and Technology, UIUC (2006-)
Selected Publications
  • M. Y. Wang, C. Zhou, and J. Xia, "Statistical analysis for recovery of structure and function from brain images," In: Biomedical Engineering, Trends, Researches and Technologies, M. A. Komorowska and S. Olsztynska-Janus, editors, pp. 169-190, 2011.
  • L. T. K. Vo, D. B. Walther, A. F. Kramer, K. I. Erickson, W. R. Boot, M. W. Voss, R. S. Prakash, H. Lee, M. Fabiani, G. Gratton, D. J. Simons, B. P. Sutton, and M. Y. Wang, "Predicting individuals' learning success from patterns of pre-learning MRI," PLoS ONE, 6(1), e16093, 2011.
  • U. Sakoglu, G. D. Pearlson, K. A. Keihl, Y. M. Wang, A. M. Michael, and V. D. Calhoun, "A method for evaluating dynamic functional network connectivity and task-modulation: Application to schizophrenia," Magnetic Resonance Materials in Physics, Biology, and Medicine, 23: 351-366, 2010.
  • C. Zhou, H. Wang, and Y. M. Wang, "Efficient moments-based permutation tests," Advances in Neural Information Processing Systems(NIPS), 22: 2277-2285, 2009.
  • Y. M. Wang and J. Xia, "Unified framework for robust estimation of brain networks from fMRI using temporal and spatial correlation analyses," IEEE Trans. on Medical Imaging (TMI), 28(8): 1296-1307, 2009.
  • J. Xia, F. Liang, and Y. M. Wang, "FMRI analysis through Bayesian variable selection with a spatial prior," IEEE Int. Symp. on Biomedical Imaging (ISBI), pp. 714-717, 2009.
  • J. Xia, F. Liang, and Y. M. Wang, "On clustering fMRI using potts and mixture regression models," IEEE Engineering in Medicine and Biology Society, pp. 4795-4798, 2009.
  • C. Zhou and Y. M. Wang, "Hybrid permutation test with application to surface shape analysis," Statistica Sinica, 18(4): 1553-1568, 2008.
  • L. H. Staib, Y. M. Wang, X. Zeng, and J. S. Duncan, "Shape information in deformable models," In: Handbook of Medical Image Processing and Analysis, Second Edition, I. Bankman, editor, Elsevier, pp. 167-180, 2008.

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Department of Statistics, University of Illinois at Urbana-Champaign
725 South Wright Street, Champaign, Illinois 61820 USA
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