His research focuses on the societal implications of the adoption of digital technology, such as blockchain, data markets, privacy-preserving technologies, and healthcare IT. He applies economic theory to the fields of data, blockchain and privacy. His papers have been published in journals such as the MIT Sloan Management Review or the Business and Information Systems Engineering.
José is an award-winning teacher. He has won the Excellence in Management Analytics Teaching Award of the Mannheim Business School in 2020, and has been nominated for the Credit Suisse Award for Best Teaching at the University of Zurich. He teaches courses on data strategy, data science, applied empirical methods, information economics, data economics, digital organisation, and FinTech. His courses enjoy very high student evaluations.
José applies the insights of his research to the corporate world by advising firms in their implementation of technologies. As such, he has co-founded, grown, and sold Lionstep, a startup that developed algorithms for HR departments. Moreover, he sits in the advisory board of Enzyme Advising Group, working on the development of data and blockchain services. He has written several white papers, and regularly consults companies in Denmark, Switzerland, Spain, and Germany.