Experience & Education

Experience

Since 2021: Assistant Professor of Quantitative Marketing (tenure-track), Department of Marketing, HEC Paris, Jouy-en-Josas, France
Since 2021: Hi! PARIS Chair for the Study of Artificial Intelligence and Data Science in Business and Society

2015: - 2021: Assistant Professor of Quantitative Marketing (non-tenure track), Department of Marketing, Goethe University, Frankfurt, Germany
2019: Visiting Scholar (Host: Prof. Dr. Navdeep S. Sahni), Graduate School of Business, Stanford University, USA

2009 - 2015: Head of Digital Business Intelligence and Analytics, Ringier AG, Zurich, Switzerland
2009: Visiting Scholar (Host: Harikesh S. Nair), Graduate School of Business, Stanford University, USA

2008: Visiting Scholar (Host: Prof. Dr. Z. John Zhang), The Wharton School, University of Pennsylvania, USA

2005 - 2008: Research and Teaching Associate (Prof. Dr. Harley Krohmer), Institute of Marketing and Management, University of Bern, Switzerland

2003: Research Assistant (Prof. Dr. Bernd Stauss), Deutsche Bahn AG & Chair of Services Management, Catholic University of Eichstaett-Ingolstadt, Germany
2001 - 2004: Management Trainee Marketing, Communication & Sales, Audi AG Ingolstadt, Germany and FAW-Volkswagen AG, Changun, China

2015 - 2017: Certificate of Advanced Studies in Higher Education Teaching Methods and Didactics, Goethe University, Frankfurt, Germany
2005 - 2008: Doctor in Business Administration and Economics, Dr.rer.oec (summa cum laude), University of Bern, Switzerland

2000 - 2005: Master of Science in Business Administration, Dipl.-Kfm. univ. (magna cum laude), Catholic Universits of Eichstaett-Ingolstadt, Germany
2005 - 2008: Concurrent studies in Political Science, Open-University Hagen, Germany

2002 - 2005: Professional Journalism Training, Hanns-Seidel-Foundation, Munich, Germany
1995 - 1996: Exchange Student, Roy C. Ketcham Senior High School, Wappingers Falls, New York, USA

1989 - 1999: High School Diploma, Math & Science Track. Willibald-Gymnasium Eichstaett, Germant

Causal Data Science with Directed Acyclic Graphs (DAGS), Adressing Endogeneity in Marketing Models, ARIMA Modeling in R, Introduction to Time Series Analysis, Writing Efficient R Code, Data Science in Real Life, A Crash Course in Data Science, Building a Data Science Team, Managing Data Analysis, A Crash Courses in Causality: Inferring Causal Effects from Observational Data, AppNexus Platform Certificate, Data Manipulation in R with dyplr, Cleaning Data in R, Statistical Inference, Gettting and Cleaning Data, R Programming, Data Scientist Toolbox, Data Analysis in R using data.table, Importing Data into R, Intermediate R, Intermediate R - Practice, Intro to Statistics with R, Introduction to R, Manipulating Time Series Data in R using xts, Discrete Choice Analysis.