Daniela Hurtado Lange
Drake Scholar
Assistant Professor of Operations
Daniela Hurtado-Lange is an assistant professor in the Operations Department at the Kellogg School of Management at Northwestern University. Before joining Kellogg, she was an assistant professor of Mathematics at William & Mary for 1.5 years. She obtained her Ph.D. in Operations Research from Georgia Tech in December 2021, and her research focuses on performance analysis of stochastic processing networks. Specifically, she works on heavy-traffic analysis and queueing theory. Her work has been recognized with the 2022 Sigma Xi Best Ph.D. Thesis Award, and second place in the 2020 JFIG competition.
- Queuing theory
- analysis of stochastic networks
- applied probability. I am recently interested in the intersection between Applied Probability and Nonprofit operations.
- I deeply enjoy teaching. Interacting with students refills my energy levels and keeps me going. Sharing knowledge with people who want to learn or understand something I know is simply fascinating to me! We all come from different backgrounds and have completely different ways to think. The challenge of connecting my way of understanding something to the students' world is joy and satisfaction to me.
-
-
-
Bachelor's and professional degree, 2016, Industrial and Math Engineering, Pontificia Universidad Católica de Chile
Master's of Science, 2016, Industrial Engineering and Operations Research, Pontificia Universidad Católica de Chile
Ph.D. in Operations Research, 2021, Georgia Institute of Technology, 2022 Sigma Xi Best Ph.D. Thesis Award -
Assistant Professor of Mathematics, Mathematics, Arts and Sciences, William & Mary, 2022-2023
-
Referee, Management Science, 2025
Referee, Annals of Operations Research, 2025
Referee, Institute of Industrial Engineers (IISE) transactions, 2025
Referee, Applied Probability Journals, 2024
Referee, Management Science, 2023
Referee, Operations Research, 2022
Referee, Operations Research Letters, 2022
Referee, QUESTA, 2021
Referee, Stochastic Models, 2023
Referee, Stochastic Systems, 2022
Operations Management (OPNSM-430-0)
Operations Management (OPNS-430-0)
1Ys: This course is typically waived through the admissions process or the equivalent course Operations Management (Turbo) (OPNS-438A) was completed during the Summer term. MMMs: This course is equivalent to the MMM core course Designing and Managing Business Processes (OPNS-440) Operations management is the management of business processes--that is, the management of the recurring activities of a firm. This course aims to familiarize students with the problems and issues confronting operations managers, and to provide the language, concepts, insights and tools to deal with these issues to gain competitive advantage through operations. We examine how different business strategies require different business processes and how different operational capabilities allow and support different strategies to gain competitive advantage. A process view of operations is used to analyze different key operational dimensions such as capacity management, cycle time management, supply chain and logistics management, and quality management. Finally, we connect to recent developments such as lean or world-class manufacturing, just-in-time operations, time-based competition and business re-engineering.
