Contact
Email: robert(dot)anton(dot)vandermeulen(at)gmail(dot)com
Twitter: robvdm
Google Scholar: https://scholar.google.com/citations?user=eSjfzOUAAAAJ
Research Gate: https://www.researchgate.net/profile/Robert_Vandermeulen
ORCID: 0000-0001-6863-7006
DBLP PID: 137/3375

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.

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