Andrés Cotorruelo received his M.Sc. in Industrial Engineering with a specialization in Automation from the University of Seville, Spain, in 2017, and his Ph.D. from ULB in July 2022. During his Ph.D., he investigated ways to minimize the computational footprint of constrained control schemes by leveraging properties of control sets, enabling precomputed descriptions that require minimal online computation.
During his post-doctoral research, he continued this work while delivering introductory AI courses to citizens and the public administration of Brussels through the FARI AI Academy, and assisting in writing projects to secure research funding. He also expanded his research to collaborative projects, applying computational geometry to path planning and fundamental system theory to pest control.