Xiaojue Zhou
Graduate student
University of California, Irvine
Biography
I am currently a graduate student at University of California, Irvine working at visual perception and neuroimaging lab (VPNL) with Prof. Emily Grossman. My main research interest is to how we understand someone else’s action in a complex social environment through modeling action perception using fMRI data. I model fMRI data with tools such as machine learning and statistical models.
During spare time, I have a lot of interests. Recently I am trying to make a perfectly sweet espresso and become Ping Pong master in VR.
- Action Understanding
- Neuroimaging
- Cortical Networks
- Human Cognition
- Machine Learning
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PhD in Cognitive Neuroscience, 2018 - Current
University of California, Irvine
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BS in Statistics (Honor) and Psychology, 2012 - 2016
University of Wisconsin, Madison
Skills
Python, MATLAB, Bash, Perl, Command line
dplyr, ggplot2
Linear models, Mixed Models, Time Series, Categorical Data, Longitudinal Analysis, Bayesian Analysis, Stochastic Models
Afni, FSL, BrainVoyager, Freesurfer, BIDS, Network Analysis, Surface Analysis
Lead Projects, Delegate Tasks, Effective Communication
Chinese, Japanese, Korean
Synthesize literature, Meta Analysis
Experience
Responsibilities include:
- Lead research projects.
- Develop neuroimaging processing pipeline.
- Present works at professional conferences and publish to academic journal.
- Built neuroimage processing pipeline, including PET, fMRI, and DTI, according to team’s needs.
- Deployed the pipline, consisting of mulitple softwares, to parallel computing clusters (HTCondor).
- Assisted testing customized LASSO algorithm on cross-modality fMRI data.
- Constructed pictures naming experiment using Qualtrics and collect data on Amazon Turk.
Projects
Recent Publications