Passionate Researcher & Data Scientist,
ALDI SÜD, International Data & Analytics.
I spent a very grateful time in science and education at COMSYS, RWTH Aachen with Prof. Dr.-Ing. Klaus Wehrle (Klaus), and the Computer Networks Group at Brandenburg University of Technology (BTU) with Prof. Dr. rer.-nat. Oliver Hohlfeld, and all gathered family along . I have now come back to ALDI joining the International Data & Analytics subdivision #teamaldi .
import pyspark, ray, numpy, pandas, matplotlib, seaborn, scipy, sklearn, networkx, nltk, gensim, nlp, torch, transformers
Research and Education, Academia
Research and Education, AcademiaNetwork Architectures Group2
|2023-03||Misc||Today, I successfully defended my final Dr. rer. nat. thesis about anonymous hyperlocal online platforms. Many thanks to my examiners and also to all participants in-person as well as remote. It has been an exciting journey through academia I do not want to miss; thanks to all the great people along the way - is has been an honor for me! You may find the slides here.|
|2023-01||Service||I am happy to serve in this year’s Program Committee of the LocWeb Workshop once again taking place in conjunction with WWW'23.|
|2022-11||Service||I am delighted to announce participating in the Technical Program Committee of the ACM Web Science Conference ‘23.|
|2022-10||Teaching||We have been acknowledged as Runner-Up by BTU for our outstanding teaching efforts within both: Our Internet & Measurements lectures - Teaching Day.|
During the first days of the 2022 Russian invasion of Ukraine, Russia’s media regulator blocked access to many global social media platforms and news sites, including Twitter, Facebook, and the BBC. To bypass the information controls set by Russian authorities, pro-Ukrainian groups explored unconventional ways to reach out to the Russian population, such as posting war-related content in the user reviews of Russian business available on Google Maps or Tripadvisor. This paper provides a first analysis of this new phenomenon by analyzing the creative strategies to avoid state censorship. Specifically, we analyze reviews posted on these platforms from the beginning of the conflict to September 2022. We measure the channeling of war messages through user reviews in Tripadvisor and Google Maps, as well as in VK, a popular Russian social network. Our analysis of the content posted on these services reveals that users leveraged these platforms to seek and exchange humanitarian and travel advice, but also to disseminate disinformation and polarized messages. Finally, we analyze the response of platforms in terms of content moderation and their impact.
A subset of massively multiplayer online games (MMOG) feature long-term game rounds in which players interact for months or even years. The player experience of such long-term games cannot be entirely captured by current study methods, in particular not at scale assessing large player populations. To address this challenge, we posit that long-term, round based games such as Tribal Wars (browser-based) enable a data-driven perspective on long-term game dynamics and experience. In a preliminary study, we monitor and characterize the entire longitudinal game state of a Tribal Wars round that was played by 16k players for 1.5 years, enabling us to investigate behavioral patterns of all active players. We identify features that capture the in-game success and relate to the player experience. We show that only successful players keep up playing. We open source our dataset enabling reproducibility & future research.