JuliaCon 2020 (times are in UTC)

Przemysław Szufel is an Assistant Professor in Decision Support and Analysis Unit at Warsaw School of Economics, an Adjunct Professor in The Cybersecurity Research Lab, Ryerson University, Toronto and a member of Computational Methods in Industrial Mathematics Lab in Fields Institute, Toronto. He is also a Management Committee member of the European Social Simulation Association.

Przemysław Szufel main research focus is in 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 "Julia 1.0 Programming Cookbook: Over 100 Numerical and Distributed Computing Recipes for Your Daily Data Science Workflow" that has recently been translated by O'Reilly to Japanese. 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.
Przemysław Szufel has delivered several workshops showing advanced analytics and simulation in Julia including Canada (University of Toronto, Ryerson University), Ireland (University College Dublin), Sweden (Stockholm University) and Central Bank of Poland and top consulting copmpanies. He is also a regular presenter for Julia hands-on-workshop at the Supercomputing Frontiers Europe conference. He also teaches Julia programming and advanced analytics PhD course in the Information Technology Department at Salerno University and he teaches several post graduate and PhD simulation and data science courses at Warsaw School of Economics, Poland.
He has also been working as an auditor for venture capital companies - he specializes in assessing technology of data-oriented startups. Dr Przemyław Szufel has been also co-managing SilverDecisions.pl project (that aims for representing and supporting business decisions and was part of a larger grant financed by the H2020 European Union grant), which has been elected by the European Commission to the Innovation Radar programme grouping the best European innovations financed by the EU funds.