ISyE Seminar Series: Kaisa Taipale

"Time series forecasting in logistics"

Presentation by Kaisa Taipale
Director of Data Science
C.H. Robinson, Twin Cities

3:30 pm - Seminar
4:30 pm - Reception, snacks and beverages

About the seminar:

While the time series beloved by venture capitalists go up and to the right, many other time series, including those in freight, exhibit multi-season cyclicality or periodicity. The business cycle, agricultural cycles, holidays, and more all influence freight time series. This talk will delve into time series that show layers of cyclicality and highlight different methods for attempting to understand the complex system of freight logistics in the US. I will also focus heavily on the business trade-offs inherent in modeling choices, as this is not a theoretical exercise but a practical one.

Bio:

Dr. Kaisa Taipale is Director of Data Science at C.H. Robinson, the largest third-party logistics firm in the United States, and was formerly with the School of Mathematics at the University of Minnesota, working with the Minnesota Center for Financial and Actuarial Mathematics. Her group at C.H. Robinson is responsible for long-term time series models for North American truckload freight, constructing and monitoring appropriate feedback loops to anticipate and react to economic and geopolitical events that affect the supply chain. Kaisa holds a PhD in algebraic geometry from the University of Minnesota. Prior to joining C.H. Robinson and her time on the faculty at the University of Minnesota, she held postdoctoral positions at MSRI (Mathematical Sciences Research Institute), Cornell, and St. Olaf College.