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Academic


Teaching

I am committed to advancing teaching and research at the intersection of data science, strategy, and leadership.

Over the past years, I have been privileged to contribute as an external lecturer at several universities and professional institutions, including FH Kufstein Tirol, Management Center Innsbruck, WIFI Tirol, Raiffeisen Campus, and Baden-Wuerttemberg Cooperative State University in Heilbronn (Germany).


In my teaching, I aim to combine practice-oriented insights into Analytics, Data Storytelling, Data Science, and practical applications of AI with a strong management and strategy perspective. This integrated approach is intended to enable participants not only to apply this knowledge hands-on, but also to reflect on their role in shaping data-driven organizations.


In addition to technical and analytical skills, I address cross-cutting topics such as Data-Driven Leadership, Data Strategy, Change Management in data-centric organizations, and the ethical dimensions of AI. My goal is to help participants develop both the operational competencies and the strategic mindset needed to successfully navigate data-driven change.

My teaching portfolio has included courses such as the following.

  • Generative AI in Practice
  • From 2021 to 2023: Digital Analytics (cross-program elective)

Education

I studied International Business Administration at the University of Innsbruck from 2002 to 2007, specializing in Strategic Management. As part of my studies, I spent an academic year at the University of Newcastle upon Tyne in Great Britain (October 2005 to June 2006), where I focused on Corporate Finance and Financial Markets. My master thesis explored controlling as a management function in nonprofit organizations and was combined with a practical experience as a working student.


RESEARCH

I am currently in the final phase of my PhD in Management at the University of Innsbruck. My research explores how organizations initiate and evaluate data science projects, focusing on the roles, interactions, and decision-making processes of organizational actors. Following a qualitative approach, I have conducted around 30 interviews with experts and decision makers in data science, analytics, and AI across several countries. The goal of my work is to advance both the theoretical understanding of data science in organizations and provide practical guidance for managing such projects.