Daniel Vladušič has a deep interest in computer science, which covers the fields from pure software development to the management of the technological projects. His past interests was efficiency of algorithms and artificial intelligence - most importantly, bridging the gap between traditional artificial intelligence and the machine learning.
Part of his work in the field of the artificial intelligence was resulted in a PhD, which he received from the University of Ljubljana in 2005, with the thesis titled Use of qualitative models in quantitative prediction. After obtaining PhD, Daniel went to mix the the machine learning field know-how with the traditional GRID computing, within his post doctoral education, developing an add-on method to assist with the job scheduling problem.
His work diversified into obtaining commercial projects from various fields, managing them and delivering the product. Given his scientific interests, he worked on lot of research projects, ranging from the FP6, FP7 and now, H2020 programmes. His work included either leadership functions or technology insight from the wealth of past experience.
He is currently the coordinator of the H2020 MIKELANGELO project and deeply invested in future trends research and evangelisation of the high performance infrastructures and their convergence.