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News:

R package "EBglmnet": Empirical Bayesian Lasso (EBlasso) and Elastic Net (EBEN) Methods for Generalized Linear Models is now on CRAN.

- - EBglmnet is a package provides generic and simple interface for a broad audience; EBglmnet can be applied to any model fits into the generalized linear regression model;
  - EBEN is a package specialized in two folds:
    - two-way interactions; and
    - group-EBlasso.

My current interests lie in the area of machine learning development and operations (DevOps), CI/CD and ArgoCD on Kubernetes. I am also actively maintaining the software packages `EBglment` and `sparseSEM` for R and Python.

I received my Ph.D. degree in Electrical and Computer Engineering from University of Miami in 2014. During my studies in the graduate programs, I explored a broad range of areas in quantitative genetics and statistics, and developed my interests in machine learning algorithms and network inference.