Oliver Hennhöfer

Researcher

I am a researcher focused on developing statistical methods for reliable machine learning systems. My work centers on anomaly detection, conformal inference, and online learning algorithms that provide formal guarantees under distribution shift.

I am particularly interested in methods that maintain statistical validity in dynamic environments, including online false discovery rate control and adaptive conformal prediction.