I am a data-driven social scientist that uses computational linguistics to examine entrepreneurial strategy decisions. At its very core, entrepreneurship is a cross-sectional discipline, and my research perceives it at the intersection of strategy, marketing and organizational sociology literature. Most recently, I focus on how new ventures achieve optimal distinctiveness, i.e., how they handle the trade-off between simultaneously conforming to norms in order to appear legitimate and differentiating to appear novel and unique to realize competitive advantages. Before joining Tilburg University, I held positions at University of Siegen in Germany and BI Business School in Norway. For more information about my career and recent working papers please refer to my personal homepage.
My expertise entails entrepreneurial business models and competitive strategy, as well as the application of computational linguistics and quantitative methods in social sciences. My work on these topics appears in journals such as the Journal of Business Venturing, International Journal of Innovation Management, and the Journal of Retailing. I also serve on the editorial review board of Entrepreneurship Theory & Practice.
I teach at the master and bachelor level. More specifically, I am involved in the Data Science BSc, as well as the Data Science in Business and Entrepreneurship MSc and it's respective Pre-Master's program. I am also the master thesis coordinator for this program.