Making sense out of data is a matter of perspective.
A long journey of adventures - climbing higher and digging deeper ever since. Be greedy.
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,
Decisions once again soon · Yes · Next venture? let's talk
The walk-through get's you to all exciting places.
import ray, numpy, pandas, matplotlib, seaborn, gensim, scikit-learn, nlp, torch, transformers
Research, Education, Public Domain
Research, Education, Public DomainNetwork Architectures Group2
|2021-03||Paper||Finally, great work with one of my Bachelor students has been successfully presented (paper) at LocWeb'21 WWW'21|
|2020-12||Teaching||On our University’s ‘Tag der Lehre’ (day of teaching), Oliver presented our approach to teach core internet fundamentals using the ETHZ Mini Internet.|
|2020-08||Poster||A long night ends… Using Mozilla Hubs, I presented our analysis of web traffic to the official Corona Warn App at SIGCOMM'20.|
|2020-06||Paper||Today, I presented our work on Emoji Embeddings (paper) at Emoji'20 ICWSM'20. Thanks for all the cool presented papers!|
We train word-emoji embeddings on large scale messaging data obtained from the Jodel online social network. Our data set contains more than 40 million sentences, of which 11 million sentences are annotated with a subset of the Unicode 13.0 standard Emoji list. We explore semantic emoji associations contained in this embedding by analyzing associations between emojis, between emojis and text, and between text and emojis. Our investigations demonstrate anecdotally that word-emoji embeddings trained on large scale messaging data can reflect real-world semantic associations. To enable further research we release the Jodel Emoji Embedding Dataset (JEED1488) containing 1488 emojis and their embeddings along 300 dimensions.
On June 16, 2020, Germany launched an open-source smartphone contact tracing app (“Corona-Warn-App”) to help tracing SARSCoV- 2 (coronavirus) infection chains. It uses a decentralized, privacy preserving design based on the Exposure Notification APIs in which a centralized server is only used to distribute a list of keys of SARSCoV-2 infected users that is fetched by the app once per day. Its success, however, depends on its adoption. In this poster, we characterize the early adoption of the app using Netflow traces captured directly at its hosting infrastructure. We show that the app generated traffic from allover Germany—already on the first day. We further observe that local COVID-19 outbreaks do not result in noticeable traffic increases.
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