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Hertie School of Governance

Bayesian Modeling of Complexity

Designing and teaching Bayesian Modeling of Complexity course for master of data science for public policy. The topics covered in this course include: fundamentals of Bayesian modeling and reasoning, inference, Bayesian networks/linear models/hierarchical models, Markov chain Monte Carlo and PyMC. Furthermore, we introduce the topic of Agent-based Modeling (ABM) in complex systems and its Bayesian analysis.

ESCP Business School

AI for Big Data Management

We teach the application of AI in the realm of business, i.e., we cover: AI & ethics, HuggingFace & agentic workflows, data mining for financial analytics, business analytics and decision making.

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