I received my bachelor's degree at the Technical University of Munich (TUM) in 2014, completing my thesis at the Chair of Security in Information Technology. The focus of my studies was on security and design of integrated circuits. Through the Erasmus program I spent one semester in Dublin, attending the University College Dublin (UCD).

During the master studies my interests shifted towards coding and information theory. In 2017 I received my master's degree at TUM, completing my thesis at the Institute for Communications Engineering.

Since 2017 I am a research assistant at the Institute for Communications Engineering in the group Coding for Communications and Data Storage of Prof. Dr.-Ing. Antonia Wachter-Zeh.

• Channel Coding

Coding for Distributed Data Storage

The vast amount of data required for todays online services has to be stored efficiently and reliantly. Most service providers have already made the transition from the naive solution of data duplication to employing more efficient codes (e.g. Reed-Solomon codes) for recovering failed servers by treating them as erasures (e.g. Facebook uses a [14,10] RS code). While this method is optimal in terms of storage overhead, recovery from failures requires large amounts of data to be transfered from many servers, making the process expensive in terms of bandwidth and number of participating servers. Coding solutions designed for distributed data storage allow for a better trade-off between these values, decreasing the repair cost while keeping storage overhead low.