Alexander Renz-Wieland

Researcher in the DIMA group at TU Berlin.

Since September 2017, I am a Research Associate and a PhD candidate in the Database Systems and Information Management (DIMA) group at Technische Universität Berlin, supervised by Volker Markl and Rainer Gemulla.

Prior to that, I completed a M. Sc. Business Informatics with a specialization in Data and Web Science at Universität Mannheim, with a semester at VU Amsterdam (with courses from CWI). In my Master's thesis, I worked on scalable sequential pattern mining, supervised by Rainer Gemulla and Kaustubh Beedkar

I obtained my B. Sc. in a dual program at DHBW Mannheim with a semester at Universidad Carlos III Madrid. In this program, I worked for HP in Germany and the U.S.

My current research interest is in scalable machine learning.


  • (Jul '18) I was accepted into the Software Campus program, so that the BMBF will provide additional funding for my PhD research. If you are a TU student interested in large-scale machine learning, feel free to send me an email.
  • (Oct '17) My M.Sc. faculty honored my degree (best 2016/17 degree) and thesis (best 2016/17 thesis)


Scalable Frequent Sequence Mining With Flexible Subsequence Constraints.
A. Renz-Wieland, M. Bertsch, R. Gemulla. To appear in ICDE '19.
pdf. slides. poster. code.

Distributed frequent sequence mining with declarative subsequence constraints.
A. Renz-Wieland. Master's Thesis, University of Mannheim, April 2017.
pdf. slides.


  • Winter semester 2018/19: Datenbankpraktikum (DBPRA)
  • Summer semester 2018: Datenbankpraktikum (DBPRA)
  • Winter semester 2017/18: Datenbankpraktikum (DBPRA)
Thesis supervision
  • Aida Zolic: Benchmarking Probabilistic Programming Languages

Alexander Renz-Wieland


TU Berlin, FG DIMA
Office EN 709
Einsteinufer 17
10587 Berlin, Germany

+49 30 314 23515

© Alexander Renz-Wieland   |   Last updated: 11 Apr 2019   |   DSGVO imprint