Research interest
- Machine learning methods, especially natural language processing and computer vision
- Brand management in social media
Academic background
21.12.20: PhD on the subject "Machine Learning Methods for Data-Driven Marketing"
since 2019: Project coordination DFG research group (DFG-FG 1452)
since 2017: PhD studies and research assistant (DFG), Universität Hamburg
2009-2014: Studies of business administration (Bachelor of Science and Master of Science), WHU Vallendar
2013: Exchange semester at Chulalongkorn University, Bangkok
2011: Exchange semester at University of Southern California, Los Angeles
Working experience
2014-2020: Management consultant (Jr. Project Manager), McKinsey & Company
Teaching
Guest lectures in the lecture "Empirical Research Methods" (M.Sc.) on the subject "How Machine Learning is Changing Marketing" summer term 2019 - summer term 2020, Universität Mannheim
Tutorial to lecture "Marketing" (B.Sc.) summer term 2018, Universität Hamburg
Publications
"Understanding videos at scale: How to extract insights for business research", Journal of Business Research, 2021 (with Jasper Schwenzow, Amos Schikowsky und Mark Heitmann)
"Comparing automated text classification methods", International Journal of Research in Marketing, 2019 (with Juliana Huppertz, Christina Schamp and Mark Heitmann), Finalist of 2019 IJRM Best Paper Award
"The Power of Brand Selfies in Consumer-Generated Brand Images", 2019, SSRN (with Mark Heitmann, Christina Schamp and Oded Netzer)
"More than a Feeling: Benchmarks for Sentiment Analysis Accuracy", 2020, SSRN (with Mark Heitmann, Christian Siebert and Christina Schamp)
