I received the Teacher of the Year award from the Department of Management in January 2021. 


My portfolio of classes:

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Read the course description here.

I teach another class, Talent Analytics, parallel to this course. Check it out here

People Strategy in Startups

3rd semester Masters elective course

Open to all BSS students

Fall 2021

Weeks 36 - 41 (5 ECTS)


Decisions about managing people must be carefully thought out with regard to the organization’s strategy, culture, and goals. But how do founders manage people in fast-growing organizations without a formal human resources (HR) department? And how do joiners and employees navigate such environments? This course will discuss these issues from the perspective of both the manager and the employee by applying theories from the field of entrepreneurship and strategic human capital. The course’s primary learning objective is to empower future managers and employees alike to think strategically and analytically about people strategy in new and fast-growing organizations and the implications of such strategies on their individual careers.  


Talent Analytics

3rd semester Masters elective course

In this course, students will explore how organizations benefit from modern prediction tools such as big data, machine learning, and artificial intelligence to inform their hiring, promotion, firing, and team collaboration processes. It is not an applied course; it will not teach you the mechanics behind the technology. This course targets students who want to use these tools to build organizational strategy, be it in a start-up or a large organization. While this requires some knowledge of how these tools work, that is only a small part of the equation, just like knowing how an engine works is a small part of understanding how to drive.

I teach another class, People Strategy in Startups, parallel to this course. Check it out here.


Applied Quantitative Methods for Management Research

Ph.D. course

What does it mean when seminar participants or journal referees claim that your paper has an endogeneity problem or no identification strategy? How can you deal with these challenges? With a point of departure in the ideal randomized experiments, this Ph.D. course at the Department of Management introduces a toolbox with various techniques to deal with these questions in quantitative analysis of non-experimental data. We do this from two different perspectives, i.e., structural equation modeling and quasi-experimental design. 

Entrepreneurial Strategy in the U.S. Beer Industry

Innovation and Entrepreneurship

Masters level course

Individual lectures

This module introduces the entrepreneurial strategy compass (Gans, Scott and Wu 2019) as an analytical toolbox to analyze four go-to-market strategies. Students will learn about four contemporary U.S. craft beer businesses as exemplars. 

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