software & resources

Research software, reproducible experiments, and companion materials for my academic work.

The projects below provide source code, computational experiments, and teaching materials connected to my publications. My complete public profile is available on GitHub.

Hands-On Mathematical Optimization with Python

Active companion resource

Companion Jupyter notebooks for the Cambridge University Press textbook Hands-On Mathematical Optimization with Python.

Role: Co-author and maintainer

Project website Source code

Tree partitioning for power networks

Archived research code

Implementations and reproducible experiments for mixed-integer tree-partitioning algorithms for power transmission networks.

Role: Co-author and contributor

Source code Published paper