When it comes to both her research and her teaching style, Kogod professor of information technology and analytics Mahsa Oroojeni keeps an eye on the future. With interests ranging from sustainability issues in supply chains to machine learning algorithms, her studies and expertise business analytics. In the classroom, Oroojeni not only brings that expertise but also a focus on collaboration and broadening horizons.
“My interdisciplinary background informs my teaching by exposing students to a wide range of perspectives and methodologies,” she explained. “I encourage my students to think critically, draw connections across disciplines, and apply interdisciplinary problem-solving approaches.”
Oroojeni’s background includes a wide range of academic and professional experience. After earning her PhD from Northeastern University in Boston, she went on to conduct research at Johns Hopkins University and the Massachusetts General Hospital. Throughout her studies, she developed experience in data analytics, operations research, and industrial engineering. She bolsters that experience with her work in healthcare and transportation systems. By the time she started teaching at Kogod, she had a well-rounded skill set that translated easily into preparing her students for work in the analytics field.
“I prioritize practical relevance in the classroom,” Oroojeni said. “Integrating case studies, industry insights, and current research findings into my curriculum allows students to gain practical skills and insights that are directly applicable to their future careers.”
Oroojeni focuses on practical education by encouraging innovation and exploration in both her courses and beyond. Through real-world scenarios and empirical evidence, she demonstrates to her students how their learning can be applied to their work; however, she also takes it a step further by encouraging them to keep an eye on trends and new technologies. Whether they learn programming languages and other technical skills or seek internships and research projects, Oroojeni knows that the best way to learn is by doing, especially in rapidly advancing fields such as green supply chains and machine learning.