You can find the Division of Biostatistics's webpage here.

Many members of the division also participate in a Program Project, "Integrative Methods of Analysis for Genetic Epidemiology" (IMAGE), as part of our Center for Statistical Genomics. More details of this can be found here.

This github organization is used to warehouse and develop software we are working on. You can find that software by clicking on the "Repositories" tab above. Examples include:

cit: Causal Inference Testing;
fdrci: Permutation-Based FDR Point and Confidence Interval Estimation;
LUCIDus: Latent and Unknown Cluster Analysis using Integrated Data;
xtune: Lasso and Ridge Regression with differential penalization based on prior knowledge;
AnnoQ: An integrated and interactive platform for large-scale genetic variant annotation.

In addition, we also use this organization to warehouse other information, such as guidelines for software development and materials from previous seminars, etc. For example, we run a seminar series known as the "Happy Scientist", to ensure that we are happy, not sad. You can find these here.

One of our educational initiatives is LA's Biostatistics Education Summer Training program at USC (LA's BEST@USC). In this annual summer program, students receive formal training in biostatistics and data science and meet experts in epidemiology, molecular biology, cancer, and clinical research with opportunities to work on real data sets. An overview of the program can be found here. You can access the official class website here.

For general guidelines on the writing of Software and packages, particularly in R, you should go to our Software Development page. There you will find guidelines on "Coding Standards", How to use the Biostats "Bioghost" server, and a variety of topics in "High-Performance Computing".
The software development landing page is here.