Welcome to my research page. I am a data-driven social scientist that uses computational linguistics to examine entrepreneurial strategy decisions. Entrepreneurship is a cross-sectional discipline at its core, and my research perceives it at the intersection of strategy, marketing, and organizational sociology literature. Most recently, I have focused on how new ventures achieve optimal distinctiveness, i.e., how they handle the trade-off between simultaneously conforming to norms to appear legitimate and differentiating to appear novel and unique to realize competitive advantages. To handle this trade-off, I examine the role of cultural entrepreneurship, i.e., how entrepreneurs utilize cultural tools and elements, such as narratives or images, to convey information on their ventures and products. For empirical testing, I collect and analyze large-scale secondary data from publicly available online sources and process them with machine learning, such as image label recognition and natural language processing.

Since 2023, I have been an Assistant Professor for Data Science and Entrepreneurship at Tilburg University and the Jheronimus Academy of Data Science. Before that, I held positions at the University of Siegen, RWTH Aachen University, and BI Business School in Oslo, Norway. My work appears in journals such as the Journal of Business Venturing, the International Journal of Innovation Management, and the Journal of Retailing. I also serve on the editorial review board of Entrepreneurship Theory & Practice.