Silke Horn
Dr. Silke Horn is a Mathematical Optimization QA Engineer with the Gurobi Optimizer team. She began her journey at Gurobi in 2018 in the technical support team and transitioned to R&D in 2024. She holds a Ph.D. in Mathematics from TU Darmstadt (Germany) and has many years of experience in academic teaching and software development.
Session
Join us as we explore integrating Gurobi and prescriptive analytics into your Python ecosystem. In this session, you’ll discover model-building techniques that leverage NumPy and SciPy.sparse as well as the data structures of pandas. We’ll also show you how to seamlessly integrate trained regressors from scikit-learn as constraints in your optimization models. Elevate your workflows and unlock new decision-making capabilities with Gurobi in Python.