Open Source Code:
Contributing to replicable science

One of the main reasons I started programming in Python in 2011 was to ensure that everyone could replicate any of my scientific work. During my PhD, I realized that a great deal of scientific papers that I came across, did cnot cover any base code. Just imagine the hundreds of scientists today trying to stand on the shoulders of giants—only to stumble over hundreds of calculation with little or not prove that they actually run in a computer. Since then, I’ve written close to a million lines of code and made everything publicly available—so you can break it, connect it, and, hopefully, reuse it.