Robert A. Vandermeulen

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I am a machine learning researcher based in Berlin. My primary research focuses are deep anomaly detection and non‑parametric density estimation. My work on one‑class deep anomaly detection was developed during my time at TU Kaiserslautern and Humboldt‑Universität zu Berlin. In non‑parametric density estimation I study factorized density estimates, which can act as non‑parametric mixture models or as a general tool for improving density estimates.

Born and raised in the Pacific Northwest (USA), I completed my graduate work at the University of Michigan before moving to Berlin for my postgraduate studies.

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