"As a researcher, I am interested in all things that come along with natural language processing. Mingling raw statistics with an organic phenomenon such as language keeps me enthralled for more than a decade now. I enjoy cross-border thinking and searching for new doors to open. One of the nicest compliments I have ever received: when there are two ways to approach a problem, a hard way and an easy way, I tend to find a third one. Speaking of '3': having three small, wonderful kids keeps me pretty occupied in my free time, but whenever there is an empty slot to fill, I paint with acrylics on canvas."
Daniel is working in the Human Language Technology team at eBay, with main focus on research and development in Statistical Machine Translation, project lead, data-mining... and whatever crosses his path. Even after years of working in applied research, he still fiercely believes that code documentation is a good thing.
Daniel received a PhD in Computer Science from RWTH Aachen University in 2012, at the department of "Pattern Recognition and Human Language Technology", Prof. Ney. The thesis is based on hierarchical machine translation using additional linguistic knowledge, as well as sign languages as a special means of communication. From 2011-2016, he worked at the Fraunhofer Institute, mostly in the fields of Automatic Speech Recognition.