Technology
Operations
Statistics
The Department of Technology, Operations and Statistics is home to faculty whose research style is analytical or technology-based.
ABOUT THE DEPARTMENT
The Department of Technology, Operations and Statistics faculty have a well known reputation for excellence in research and teaching. Our research focuses in areas such as big data, crowdsourcing and innovation, online advertising, mining social media content and social networks, the sharing economy, revenue management and pricing, long memory time series and categorical data analysis.
Department of Technology, Operations, and Statistics Leadership
- Jiawei Zhang, Chair
- Josh Reed, Deputy Chair
- Panos Ipeirotis, Undergraduate Advisor: Computing & Data Science
- Wenqiang Xiao, Undergraduate Advisor: Operations Management
- Aaron Tenenbein, Undergraduate Statistics and Actuarial Science Program Advisor
Technology Group
- Natalia Levina, Doctoral Program Coordinator
Operations Management Group
- Wenqiang Xiao, Doctoral Program Coordinator
Statistics Group
- Clifford Hurvich, Doctoral Program Coordinator
- Elynn Chen, Statistics Research Seminar Series Coordinator
Advanced Professional Certificate in Digital Business
Digital technology is redefining business models and transforming industries from finance to fashion at an unprecedented pace. Technical professionals find they need to understand the business implications of technology, and non-technical professionals need to understand the fundamentals of digital technology.
Course offerings include: digital strategy; data mining; business analytics; digital marketing; digital media; and statistics and data analysis.
Faculty Spotlight
Peter Lakner, Associate Professor of Statistics and Operations Research, presents his research on impulse control.
Mor Armony, Vice Dean of Faculty and Professor of Technology, Operations, and Statistics, discusses her research on healthcare operations.
Natalia Levina, Professor of Information Systems, presents at the Future of Business Event series.