Matias Siebert

Bio

I'm currently an Applied Scientist at Amazon. Before joining Amazon, I obtained my Ph.D. in Operations Research at the Georgia Institute of Technology, under the supervision of Shabbir Ahmed, and George Nemhauser . I received my bachelor's degree in Industrial Engineering from the University of Chile, and I also obtained my master's degree in Operations management from the University of Chile.

In my dissertation I worked in two Network Optimization problems. First, I worked on the semiconductor manufacturing problem, where we proposed a Fluid model to create lot dispatching and lot targeting policies. Secondly, I worked on the Steiner tree problem, which is a classical Network design problem. We proposed a new approach, which consist on solving a set of Integer Programs (IP), with the property that the linear relaxation of each IP is integral, and the size of each IP is polynomial on the input data. The number of IPs to solve grows exponentially with the number of terminals of the instance.