Patrick Altmeyer
I'm a visiting researcher at Delft University of Technology where I recently graduated from my Ph.D. in Trustworthy Artificial Intelligence and Finance. My research revolves around Counterfactual Explanations and Probabilistic Machine Learning. Previously, I worked as an Economist for the Bank of England.
I started working with Julia at the beginning of PhD in late 2021 and have since developed and used various packages, some of which I presented at JuliaCon 2022, 2023 and 2024. These packages now have a common home called Taija, which stands for Trustworthy Artificial Intelligence in Julia.
You can find out more about my work on my website.
Session
CounterfactualTraining.jl leverages CounterfactualExplanations.jl to make opaque machine learning models like artificial neural networks more 1) explainable, 2) sensitive to actionability constraints and 3) adversarially robust. The package is part of the Taija ecosystem for Trustworthy AI in Julia and the engine behind our IEEE SaTML 2026 paper titled Counterfactual Training: Teaching Models Plausible and Actionable Explanations.