Currently I am primarily working on the following projects:

• How to implementing decision engineering, aka automated decision making in a large company at scale from both a cultural and an engineering perspective
• Time series learning at scale by combining methods from statistics (state-space-models) with machine learning techniques (gradient boosting mostly)

I plan to put some more info up soon, so stay tuned:)

If soon turns out to be not so soon, feel free to open an issue on Github!