Researcher in the
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.
Distributed frequent sequence mining with declarative subsequence constraints.
A. Renz-Wieland. Master's Thesis, University of Mannheim, April 2017.
- Winter semester 2018/19: Datenbankpraktikum (DBPRA)
- Summer semester 2018: Datenbankpraktikum (DBPRA)
- Winter semester 2017/18: Datenbankpraktikum (DBPRA)
- Aida Zolic: Benchmarking Probabilistic Programming Languages