Emmanuel's research covers data mining, machine learning, scalable algorithms, and interactive exploration for high dimensional data, complex graphs, time series, and data streams. His chair is leading and contributing to several open-source initiatives enabling repeatability and comparability for the research community. In the past few years, we have initiated and coordinated various education programs for “Data Science” and “Data Engineering”: One on the level of university education (M.Sc. program), two graduate schools (PhD programs) and multiple executive education programs for industry.
Emmanuel is the director and founding member of the Research Center.
