I am a graduate student in the Department of Psychology at the Michigan State University. My expertise is in the area of human memory and attention. To understand cognitive functions and their underlying brain mechanisms, I use varied quantitative methods, including behavioral experiments and neuroimaging tools (e.g., EEG, fMRI). I have strong skills in data analytics and experimental design. I am passionate about transforming research into real-world applications.
PhD in Cognition and Cognitive Neuroscience, 2014-2019
Michigan State University, U.S.
MS in Cognitive Neuroscience of Language, 2013-2014
Basque Center on Cognition, Brain and Language, Spain
BSc in Psychology, 2009-2013
South China Normal University, China
I use R for most of the data wrangling, analysis and visualization work. My favorite packages are dplyr, purrr, and ggplot2
Currently, I mainly use the scikit-learn package for Machine Learning
I mainly use it for running psychophysical experiments and doing scientific computing
I have substantial experience with common descriptive and inferential staistics used in research, and have a working knowledge of common machine learning algorithms
I am familiar with popular database management systems, such as PostgreSQL and MySQL
I am familiar with Microsoft Office Suite, like Word, PowerPoint, Excel, and Access
I am still learning the Swift language, hope to create my own app in the near future
I have a lot of experience with fMRI and EEG. I mainly used AFNI for fMRI and EEGLAB for EEG analysis. Among different lines of neuroimaging studies, I am mostly interested in brain decoding
Self learning is a skill! I am an avid learner, and I like to grow a bit every day!
Models against persistent activity models of working memory
An incomplete shiny project for exploring data online.
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