Rate My Professor Giacomo Marangoni

Giacomo Marangoni is an Assistant Professor in Policy Analysis in the Faculty of Technology, Policy and Management at Delft University of Technology, a position he has held since September 2022. He earned his PhD in 2017 from the Department of Management Engineering at the Polytechnic University of Milan, where his dissertation focused on developing models to support sustainable energy investment decisions under uncertainty. Prior to joining TU Delft, Marangoni served as an Assistant Professor at Politecnico di Milano from January 2021 to August 2022, a Postdoctoral Researcher there from September 2018 to December 2020, and a Postdoctoral Researcher at Penn State University from September 2017 to August 2018, concentrating on climate change risk management. His research centers on Integrated Assessment Models (IAMs) to inform effective climate policies, encompassing multi-objective optimization and uncertainty analysis of mitigation strategies, feasibility of clean energy transitions, low-carbon scenarios, energy conservation, technological learning, and climate inequality. Marangoni is actively involved in the Governance theme of TU Delft's Climate Action Programme, where he co-leads efforts in climate change governance and explores robust model-based climate policies that account for conflicting environmental and economic objectives, ethical concerns, and deep uncertainties. In 2024, he received the European Research Council (ERC) Starting Grant for his project RIPPLE – Redirect Innovation to foster Positive tipping Points and prevent Lock-ins in the clean Energy transition, awarded €1.5 million over five years to develop advanced models integrating economic approaches and machine learning for climate action planning. He also holds an affiliation as a member of academic staff at the RFF-CMCC European Institute on Economics and the Environment from 2024 to 2026.

Marangoni's scholarly contributions include key publications such as 'Demand-side policies can significantly reduce emissions from energy use in buildings and transport' (2025, Energy Policy), 'Demand-side strategies enable rapid and deep cuts in buildings and transport emissions to 2050' (2025), 'Green hydrogen in the iron and steel industry increases resilience against shocks in energy prices' (2025), 'Informed investments in clean energy technologies' (2025), and 'Lifestyle change modelling for climate change mitigation' (2025). His teaching covers energy-economic modelling, renewables, and big data analysis for societal challenges. Additionally, he has delivered lectures as part of TU Delft's Climate Action Programme.