Research

Software

I believe strongly in open source software. You can follow me and my collaborators’ research in real time through the following repositories:

OCTHaGOn.jl, for global optimization over arbitrary explicit and inexplicit constraints via optimal decision trees,
OptimalTrees.jl, for mixed-integer optimization methods for decision tree learning,
15094code, for demonstrations of robust optimization methods applied to different problems in operations research,
robust and its documentation, for engineering design under under uncertainty using geometric and signomial programming,
GPkit and its documentation, for a Python package for engineering design leveraging convexity and object-oriented programming,
SPaircraft and its documentation, for a conceptual commercial aircraft model based on TASOPT, the largest open-source signomial programming compatible engineering model thus far.

If you are interested in the above tools, I also recommend visiting the following resources:

sageopt and its documentation, for global optimization of signomials and polynomials.
convexengineering, to find other repositories and resources using geometric programming in design.
Interpretable AI, for interpretable machine learning methods, available under an academic license.

My published works can be found at my Google Scholar page, and you can follow me to get notified about new papers.

Below are PDFs of slides and posters I have presented.