Arghya Chattopadhyay

My research:

My research interests are quite varied. I get attracted to problems having challenging mathematical undertones, possibly allowing some algebraic geometry approach. This brought me closer to a lot of mathematical physics issues and specially string theory. At present I am working at the interface of theoretical physics and AI-driven experimental particle physics. By integrating machine-learning tools into both my formal studies (holography/mathematical physics) and hands-on work with Large hadron Collider open data, I am researching to bridge deep theory with real-time data applications.

My expertise is:

Mathematical physics and data analysis in python.

A problem I’m grappling with:

To have enough computing power to run all my ideas simultaneously.

I’ve got my eyes on:

Creating newer physics informed machine learning architectures both for particle physics and mathematical physics.

I want to know more about:

Parallel processing and synthetic data generation.