Daniel Albert

Dr. Daniel Albert is an Assistant Professor of Management at Drexel University’s LeBow College of Business, specializing in strategic management, innovation, and organizational design. His teaching spans various levels, including MBA and Executive MBA programs, emphasizing strategy and competitive advantage. He integrates cutting-edge technology, such as generative AI, into his teaching approach and is a Members of the Drexel University Standing Committee on Artificial Intelligence. 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 the Sumantra Goshal Award for Research and Practice by the Academy of Management in 2022. Together with his co-author, he also was awarded a distinguished paper award by the Academy of Management in 2023. 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, Dr. Albert was a tenure-track professor at the University of Wisconsin-Milwaukee.