Stefano Mingolla

Stefano Mingolla is an interdisciplinary researcher at the IE University, focusing on energy transition and industrial decarbonization. His work bridges engineering, environmental science, data science, and economics to evaluate the deployment of sustainable, resilient, and low-carbon technologies.

Using tools such as mathematical optimization, geospatial modeling, life cycle assessment, and machine learning, he develops computational frameworks to assess trade-offs in systems-level transitions toward a net-zero and climate-resilient society. His research has primarily focused on chemical and energy-intensive sectors (such as hydrogen, ammonia, and low-carbon transport) and is now expanding to decentralized energy systems and clean technology deployment. His goal is to inform feasible, equitable, and scalable decarbonization strategies, and to support the real-world implementation of clean technologies.

Stefano has lead studies published in top-tier journals including Nature Communications, Nature Food, Environmental Science & Technology, and Renewable and Sustainable Energy Reviews. He has received multiple awards for his research, including the Best Research Award for his doctoral thesis, and has held research positions at leading institutions such as The Hong Kong University of Science and Technology, ETH Zurich, and Carnegie Science at Stanford University.

Academic Experience

Assistant Professor, Computer Science Department, IE University, Spain, 2026—present
Postdoctoral Research Scientist; Biosphere Sciences & Engineering, Carnegie Institution for Science, Stanford University, CA, USA, 2024-2025
Visiting Research Scholar; Department of Mechanical and Process Engineering, ETH Zürich, Switzerland, 2023

Academic Background

Ph.D. in Environmental Science, Policy & Management, Hong Kong University of Science and Technology (HKUST), 2024
MSc in Economics, Green Economy & Sustainability, University of Ferrara, Italy, 2019
BA in Business Administration, University of Brescia, Italy, 2017