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I am a postdoctoral researcher at Rice University working with Dr. Marina Vannucci and Dr. Simon Fischer-Baum. Currently we are working on characterizing the relationship between brain damages and reading disorders in stroke patients are recovered over years through the process of neuroplasticity. I am now also working with Shell as a data scientist doing spatial-temporal modeling on oil exploration.
I was a PhD student in Statistics and Applied Mathematics of Jack Baskin School of Engineering at University of California, Santa Cruz, advised by Dr. Raquel Prado. Before enjoying California’s sunshine, I studied Economics and Statistics at Indiana University Bloomington (IUB). My PhD research focused on Bayesian spatio-temporal modeling and Bayesian variable selection with applications in brain imaging, fMRI data in particular. I am also in the space-time research group of Professor Hernando Ombao at KAUST and Michele Guindani at University of California, Irvine. My other interests include RStudio tools, data visualization and high dimensional problems.
PhD in Statistics and Applied Mathematics, 2018
University of California, Santa Cruz
PhD program in Statistics and MA in Ecoomics, 2013
Indiana University Bloomington
MA ans BA in Public Finance, 2005
National Chengchi University, Taiwan
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I have been taking many mathematics and statistics courses at IUB and UCSC. At IUB, I took several undergraduate level and advanced mathematics as well as (mainly frequentist) statistics courses. At UCSC, most of the coursework focus on Bayesian statistics. I am also a MOOC fan
Advanced Mathematics
Advanced Statistics
Probability, Statistics and Computing Fundamentals
Bayesian Statistics
Specific Topics
The webpage https://people.ucsc.edu/~cy48707/ includes some of my coursework at UCSC. You are welcome to see my work but please do not copy or plagiarize them in any way of any form. If any course is currently offered, the links for that course will be removed. Feel free to contact me about my coursework!
I also visit Udemy, Udacity, Edx and other online learning sites.