research

My work tackles the interplay between high and low-carbon investments to inform policies around the just transition. 

I am particularly interested in non-conventional investors and in the role of big tech in expanding the market for renewable energy.

In my research I have been using network science and econometrics to map how investors interact with one another, giving birth to complex ecosystems.

My research explores the sustainability trade-offs of artificial intelligence to reveal its hidden costs.

I have been using Large Language Models (LLMs) and econometrics to derive how AI contributes to the Sustainable Development Goals.

As AI has non-neutral impacts on the environment, in my research I estimate the resource use and greenhouse gas emissions of investments in the AI market.