I’m a Chilean working and getting a Ph.D. at USC working on Statistical Computing at the Department of Preventive Medicine with with Prof. Thomas W. Valente and Prof. Paul Marjoram. I hold a MA in Economics and Public Policy from Universidad Adolfo Ibáñez (Chile) and a M.Sc. in Economics from the California Institute of Technology (USA). Currently, I’m interested in social networks, developing (and implementing) new statistical methods for data analysis (and inference), statistical computing, and computational social sciences in general.
Some quick links
Ph.D. in Biostatistics, 2017-
University of Southern California
M.Sc. in Economics, 2016
California Institute of Technology
M.A. in Economics and Public Policy, 2010
Universidad Adolfo Ibáñez, Chile
Jul 27, 2017, Stata Conference, 2017
Mar 23, 2017, The “Happy Scientist” Seminar Series
Jun 16, 2016, The R User Conference 2016
The rgexf R package has been around a couple of years now, but without much going on on CRAN (my bad!). In this post I’ll show how to use the new version (on development and soon the be shipped to CRAN) together with the netdiffuseR R package to visualize a random diffusion process.
Parallel lets you run Stata faster, sometimes faster than MP itself. By organizing your job in several Stata instances, parallel allows you to work with out-of-the-box parallel computing.
The aphylo R package implements estimation and data imputation methods for Functional Annotations in Phylogenetic Trees.