After finishing my Master's Degree, I decided to conquer the world going into industry. My work at ALDI has taught & given me so much! · Decisions · Is it still fun? - Totally · Is it demanding (enough)? - Yes · Do you still it? - Very much so · Then why leave?
This was not it (yet) · something was calling for more · the next endeavor. Having spent a very grateful time in Science and Education at COMSYS1, Network Architectures Group2, RWTH Aachen, with Prof. Dr.-Ing. Klaus Wehrle (Klaus)1, Prof. Dr. rer.-nat. Oliver Hohlfeld2, and the family,
Finishing my Ph.D. (submitted) · Yes · Next venture? let's talk
import ray, numpy, pandas, matplotlib, seaborn, scipy, sklearn, networkx, nltk, gensim, nlp, torch, transformers
Research, Education, Academia
Research, Education, Academia
Ph.D. CandidateNetwork Architectures Group2
|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.|
|2022-08||Misc||Meet me at ACM SIGCOMM! Good News, my tickets are booked for this year’s iteration in Amsterdam. I am very excited & happy participating at in-person conferences once again, meeting friends and colleagues in the pursuit of hottest research.|
[ submitted ]
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.
We study the extent to which emoji can be used to add interpretability to embeddings of text and emoji. To do so, we extend the POLAR-framework that transforms word embeddings to interpretable counterparts and apply it to word-emoji embeddings trained on four years of messaging data from the Jodel social network. We devise crowdsourced human judgement experiment to study six use-cases, evaluating against words only, what role emoji can play in adding interpretability to word embeddings. That is, we use a revised POLAR approach interpreting words and emoji with words, emoji or both according to human judgement. We find statistically significant trends demonstrating that emoji can be used to interpret other emoji very well.