Publications

[1] Can Reinforcement Learning support policy makers? A preliminary study with Integrated Assessment Models,
NeurIPS 2023 Workshop on Tackling Climate Change with AI

As part of my Masters at UCL, I worked on using Reinforcement Learning in an Integrated Assessment model. This was very novel work and there was very little prior work to base my work on.

It was a hugely challenging project, but I learned a lot about RL and the problems in applying it to dynamical systems. Notably, I wrote my own implementations of A2C, PPO, DQN, Double DQN (with duelling nets + PER buffer) in Pytorch. I subsequently published my work at the workshop "Tackling Climate Change with AI" at NeurIPS 2023.

You can find my NeurIPS publication here and my poster here.

Invited Talks

London 2050, UCL Engineering 2024

Invited for a presentation and then a panel with BNP Paribas and ABB to talk about AI and sustainability.

Machine Learning Engineer at a Climate Tech Startup, UCL Statistics Society, 2023

I spoke about my experience as a Machine Learning Engineer at Carbon Re, a climate tech startup. I talked about the challenges of working in a startup as well as the experience of shifting from academia to industry.

Tips on running a succesful Masters Project, UCL AI for Sustainable Development cohort 2022

I did very well on my Masters Project and I was invited to give a talk to the incoming students on how to run a successful project by my supervisor Maria Perez Ortiz who is the head of the course. I talked about the importance of a preparing correctly. Especially, given that I had created my own topic.

What's the big deal with the James Webb Space Telescope?, UCL AI Centre, 2022

I was invited to give a talk at the UCL AI Centre on the James Webb Space Telescope. I talked about the scientific goals of the mission and its potential impact for the big topics in astrophysics and cosmology such as the Hubble tension and galaxy seeding.