Dominik is continually involved in both academic and industry R&D projects, in the areas of Artificial Intelligence, Machine Learning and Knowledge Discovery. His research has strong roots in Rough Set Theory co-developed by his scientific supervisor and mentor, Professor Andrzej Skowron. His interests have been always related to Data Exploration and Decision Support tools and methods that would be easy to use by domain experts and practitioners. In Infobright he co-designed Analytical Database Engine aimed at fast low-resource processing of massive volumes of machine-generated data, based on the paradigms of Columnar Data Stores and Rough Set Approximations. In 2015 he co-established the team working on highly scalable Approximate Analytics Engine based on the elements of Approximate Computing and Information Granulation, whose development is now continued in cooperation with Security on Demand. In parallel, since 2012 he has been active as co-organizer of open data mining challenges at Knowledge Pit. He also played leading roles in several government-funded projects including SYNAT and DISESOR.