I’m Blake Moya, a graduate student of Statistics at The University of Texas at Austin. Before arriving in Austin, I completed my B.S. in Cognitive Science with a concentration in Computational Modeling and AI at the University of Texas at Dallas. There I worked as an intern at Filbey Lab in the Center for BrainHealth (where I published my first paper). I also worked concurrently on my M.S. in Applied Cognition and Neuroscience and completed that degree during the first year of my Ph.D., which was conducted online due to the COVID-19 pandemic.
Being locked in for a year gave me plenty of time to develop my interests in Markov Random Fields, Bayesian predictive resampling methods, and multivariate linear methods. I also had opportunities to polish my skills in parallel and GPU accelerated programming with CUDA, data visualization in 2 and 3 dimensions in R and Python, and C++ interfaces with R.
The purpose of this blog is to share what I’ve learned and also to show off some small projects and tidbits that aren’t large enough for their own repository. I hope you find something you enjoy!
Thanks,
Blake
