Our work in Applied Machine Learning (AML) bridges foundational research and real-world applications.
We focus on crafting algorithms that solve complex, high-impact problems across diverse domains.
Leveraging expertise in optimization, statistical learning, and computational efficiency, we develop models that are robust, scalable, and interpretable.
