About

About Daniel

Daniel is an Assistant Professor of management at Drexel University’s LeBow College of Business.

Daniel specializes in strategic management, innovation, and organizational design.

His teaching spans various levels, including MBA and Executive MBA programs, emphasizing strategy and competitive advantage. In his work, Daniel integrate generative AI into his research & teaching and serve as a member of the Drexel University Standing Committee on Artificial Intelligence. Recently, he received an appointment as senior fellow of The Wharton School’s Mack Institute of Technology Management.

Daniel’s research extends to organizational design in the financial services and US hospital industries. In addition, he develops computer simulation models to study cognition, complex decision-making, and innovation, utilizing algorithms informed by psychology and neuroscience studies as effective, simplified representations of human learning processes. Many of these algorithms build the basic foundation of prominent AI models, such as neural networks that underly large language models. His findings have been published in prestigious academic journals and his work on mental models, learning, and decision-making earned him and his collaborators several prestigious awards.

My Journey

Daniel’s academic journey started with his Ph.D. studies at the University of St. Gallen, Switzerland, where he delved into the intricacies of the financial service industry. This path led him
to the Wharton School, University of Pennsylvania, where he was invited to serve as a research scholar for several years, both during and following his Ph.D. studies. Before joining
Drexel University, Daniel was a tenure-track professor at the University of Wisconsin-Milwaukee.

Interests & Expertise

Cognition and Strategy

Decision Making

Computer simulations

Generative Artificial Intelligence in Teaching and Research

US Hospital Industry Pricing and Strategy

Strategic Management