Five UMSI faculty promotions receive Board of Regents approval

Five University of Michigan School of Information faculty promotions were approved at the May 21, 2026 meeting at U-M’s Board of Regents. The promotions will go into effect August 2026. 

Read about the research and accomplishments below: 

Julie Hui joined UMSI in 2018 as a postdoctoral fellow before joining the faculty as an assistant professor. Her research investigates how technology influences access to work and employment, with a focus on under-resourced small businesses, gig workers and job seekers. Hui builds partnerships with local organizations to co-develop and test models of work and resource sharing. She has earned a 2023-24 Joan Durrance Community Engagement Award for excellence in building partnerships with communities to develop information-related projects that can lead to social change. She is also the recipient of the 2025 U-M Chinese Heritage and Scholarship Junior Faculty Award. Hui was promoted to associate professor, with tenure, at UMSI. 

Daniel Romero’s research focuses on the empirical and theoretical analysis of social and information networks. Romero also serves as the director of the UMSI doctoral program, and was named a 2025 Association for Computing Machinery Distinguished Member for his significant contributions to the field of computing and information technology. Romero was promoted to professor of information, with tenure, at UMSI; professor of electrical engineering and computer science, without tenure, at the College of Engineering; and professor of complex systems, without tenure, at the College of Literature, Science, and the Arts. 

Grant Schoenebeck joined UMSI in 2019 as an assistant professor. His work studies the relationship between computer science and economics, with a particular focus on social networks and mechanisms for information elicitation and aggregation. His research earned him a 2022 National Science Foundation grant. Schoenebeck was promoted to professor of information, with tenure, at UMSI. 

Misha Teplitskiy joined UMSI as an assistant professor in 2019 after completing a postdoctoral fellowship at Harvard Business School. A sociologist, Teplitskiy studies the drivers of scientific and technological innovation, especially the role that policy and technology can play in accelerating scientific discovery. Teplitskiy was promoted to associate professor of information, with tenure, at UMSI. 

Jiayu Zhou joined UMSI in 2024 as an associate professor. His research focuses on large-scale machine learning and data mining and AI for health. Zhou’s work is interested in the development of machine learning and generative AI solutions for health care problems, including early diagnoses and intervention for Alzheimer’s disease and cognitive impairment. Zhou was promoted to professor of information, with tenure, at UMSI. 

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