Daniel is leading the Big Data and Machine Translation group at SDL Research Cluj, working on a Hadoop-based data pipeline that processes Petabytes of unstructured data; the resulting clean data is used to increase the quality of SDL’s Statistical Machine Translation engines. Daniel is involved in the local Big Data community as a meet-up organizer/speaker in the effort to raise the awareness of the Big Data and Hadoop field.