Experience

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  Florey Institute of Neuroscience and Mental Health, University of Melbourne

  • Melbourne, Australia

  • Senior Data scientist

    • Feb 2010 - Present
    • Melbourne, Australia

    - Machine Learning & Deep Learning (1) Stroke recovery outcome prediction o Multi-modality MR imaging data collected from stroke patients o Behavioral measurements (TDT, MOCA, NIHSS, MADRAS, etc.) from stroke patients o Regression predictive modeling: SVM, RF, ridge, lasso, elasticnet o Classification predictive modeling: RF, SVM, deep learning(2) Functional networks estimation based on multiple graphical models o Gaussian graphical models and applications to brain connectomes o Maximum likelihood estimation o Fused graphical models o Graphical lasso o Sparse solutions with L1-norm minimization o Bootstrapping o Non-convex optimization(2) A novel method for extracting hierarchical sub-networks based on a multi-subject spectral clustering approach o Manifold learning and graph Laplacian o Graphical lasso regression o Stability selection(3) Integration of structural and functional connectivity o Markov Chain Monte Carlo (MCMC) o Bayesian modeling of brain connectivity(5) Network analysis using graph theoretical approaches o Brain dynamics modeling in complex systems - Magnetic Resonance Imaging (1) Arterial Spin Labeling (ASL) perfusion MRI o MRI pulse sequence development : k-space sharing, variable flip angle, Extended phase graph o ASL image post-processing method development: partial volume correction, deblurring, denoising (2) functional and Diffusion MRI o Data analysis o Complex network modeling

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  Vanderbilt University

  • Greater Nashville Area, TN

  • Research fellow

    • Aug 2008 - Dec 2009
    • Greater Nashville Area, TN

    - Epileptic activity localization with simultaneous EEG-fMRI; o General linear Model (GLM) o EEG signal processing o Data mining and fusion- Machine learning o Epileptic activity localization using Independent Component Analysis (ICA) without EEG o Multivariate regression o Signal processing o SVM, MAP and MLE, etc.

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  Brandeis University

  • Greater Boston Area

  • Postdoctoral Fellow

    • Feb 2007 - Jul 2008
    • Greater Boston Area

    - Face perception experiments (1) functional MRI data (fMRI) o 4D brain images acquired when viewing different categories of human faces o fMRI signal was used to measure brain responses to different faces (2) Various traits of each face were collected for further statistical modeling - Data analysis and statistical analyses (1) Effective connectivity of distributed and interactive brain regions during emotional face perception o Structural equation modeling (SEM) o General linear model was used o Statistical analysis using SPSS (2) Differential activation to emotional faces using event-related and block design methods o Statistical modeling o GLM (3) Linear and nonlinear neural activation to facial attractiveness in the reward-circuitry o Statistical modeling o Parametric modulation analysis for GLM o Data mining

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  Shanghai University

  • Shanghai City, China

  • Lecturer

    • Nov 2005 - May 2007
    • Shanghai City, China

    - Free Multi-view Real-time Reconstruction for Objects. (1) 3D MR image reconstruction o Algorithm development o Non-Cartesian MR image reconstruction using non-uniform FFT (2) Assembly line quality detection of magnetic rings o Computer vision o Software developed based on VC++