Short Bio:
I am a machine learning researcher currently based in Berlin. My primary research focuses are deep anomaly detection and nonparametric density estimation. My research on deep anomaly detection primarily focuses on one-class approaches, which were initially developed by myself (and collaborators) while I was at TU: Kaiserslautern and Humboldt-Universität zu Berlin. For nonparametric density estimation I am interested particularly in factorized density estimates which can used as an approach to nonparametric mixture models or as a general means for improving density estimates.

I was born and raised in the Pacific Northwest in the USA and did my graduate work at University of Michigan before moving to Berlin for my postgraduate studies.