I am a researcher whose work lies at the intersection of statistical physics and macroeconomics.

My doctoral work focused on the use of well-established techniques in the physics of disordered systems to study agent-based models. In these models, agents follow simple microscopic rules and interactions between agents leads to non-trivial collective macroscopic behaviour. Through my work, I have shown how we can reduce the complexity of such models to a few key parameters by using phase diagrams and demonstrated the relative pros and cons of different economic policy decisions for tackling the Covid crisis.

For a detailed description of my work, I provide a non-technical discussion here. You can have a look at my papers here or watch some of my talks here. For more general writing, you can have a look here. Finally, if you want to get into the weeds, you can always read my thesis.

I have previously dabbled in machine learning, deep learning, biophysics and quantum optics. I have also sent a nano-satellite to space. You can see its launch from the International Space Station here.