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.
PhD in Statistical Physics, 2017-2020
Ecole Normale Superieure, Paris
Masters in Theoretical Physics, 2016-2017
Ecole Normale Superieure, Paris
Ingenieur Polytechnicien (Masters in Engineering), 2013-2017
Ecole Polytechnique, Palaiseau
Bachelors in Physics, 2010-2013
St. Stephen's College, New Delhi
We study the impact of the coronavirus induced economic shocks and possible recovery scenarios using an agent-based model. We show that depending on the shock parameters(amplitude and duration), the economy can show V-shaped, U-shaped and L-shaped recoveries.
Physics Tutor for undergraduate (L3 and M1) students. Courses taught:
Developed an experiment to characterize the superfluid flow of light in nearly detuned Rubidium vapor. My advisor was Dr. Quentin Glorieux at the Quantum Optics Group.
For my work, Ecole polytechnique awarded me Felicitations du Jury (Jury Award).
A detailed report of my work can be found here