Summary
Breno Beirigo is an Assistant Professor in Stochastic Operations Research at the University of Twente with 10 years of experience at the nexus of autonomous transportation, operations research, and machine learning. He holds a PhD from Delft University of Technology where his thesis combined reinforcement learning and optimization to create data-driven fleet management strategies for autonomous urban logistics. His work spans designing stochastic optimization models for hybrid land–water fleets, electrification and automation research, and service-quality-oriented algorithms that balance equity, delay reduction, and operational cost. Breno’s background in computer science and hands-on teaching experience informs a practical, implementation-focused approach to research and curriculum. He has moved between academia and applied projects since Brazil to the Netherlands, bringing an uncommon blend of sensor/IT foundations and transport systems expertise. Colleagues know him for translating complex stochastic models into actionable strategies for real-world mobility systems.
9 years of coding experience
2 years of employment as a software developer
Master's degree, Operations Research, Master's degree, Operations Research at Universidade Federal de Viçosa
Technical degree, Information Technology, Technical degree, Information Technology at Centro Federal de Educação Tecnológica de Minas Gerais
Bachelor's degree, Advanced Sensors Application, Bachelor's degree, Advanced Sensors Application at Hanzehogeschool Groningen / Hanze University of Applied Sciences Groningen
TU Delft