Przemysław main research focus is on applying advanced analytics methods, and in particular, machine learning, simulation, and optimization in modelling and automating decision business processes. He is a co-author of several tools and algorithms for optimal and cost-efficient collection and analysis of large data sets in the cloud. He is a co-author of over 30 publications, including handbooks and journal papers, in the area of applying advanced analytics, machine learning, and simulation methods to making optimal business decisions. He is a co-author of the book “Julia 1.0 Programming Cookbook: Over 100 numerical and distributed computing recipes for your daily data science workﬂow” which has been recently translated by O’Reilly from English to Japanese.
In the area of advanced analytics Przemysław has delivered several workshops around the globe including Canada (University of Toronto, Ryerson University), Ireland (University College Dublin), Sweden (Stockholm University), and Italy (Salerno University). He is also a regular speaker for scientific computing workshops at the Supercomputing Frontiers Europe conference. He has been also teaching Julia advanced analytics PhD course in the Information Technology Department at Salerno University and he teaches several postgraduate and PhD advanced analytics courses at Warsaw School of Economics, Poland. Przemysław has also delivered data analysis training and workshops to several companies including Orange, AVIVA, PZU, PKO, PGNIG and innogy and to the top management consulting firms. He has completed various data analytics projects with banks, telecoms, FMCG, financial, technological, consulting, and marketing companies.
He is also an auditor for venture capital companies – he specializes in assessing technology assets of data-analytics-startup companies looking for financing and business development. Przemyław has been also co-managing SilverDecisions.pl project that aims to represent and support business decisions. SilverDecisions.pl was financed by the H2020 European Union grant and has been elected by the European Commission to the Innovation Radar program, grouping the best innovations financed by the EU funds.