Mario Haim is a PhD candidate in communication as well as a trained computer scientist. He studied Media and Communication in Augsburg, Munich, and Helsinki and gained his Master’s degree in communication in 2014 with a thesis on participants of political stock markets. Since 2014, Mario is a PhD candidate at LMU Munich’s Department of Communication Studies and Media Research. In his research, he focuses on all aspects of algorithmic influences on journalism. This includes data-driven journalism as well as personalization and Filter-Bubble effects, audience metrics, and news distribution within social network sites. His work on computer-generated news (i.e., robot journalism) was recently featured in the TV magazine ZAPP as well as in various programs of BR, WDR, and Die ZEIT. In his teaching, Mario focuses primarily on data-driven journalism. He has offered hands-on workshops in data journalism at the German Journalism School (DJS) and Bayerischer Rundfunk (BR) as well as an academic seminar on data-driven journalism at the University of Southern Denmark. For more information see Mario’s personal website.