Arya Dhar

I am performing large-scale computations to evaluate localization properties of long-range interacting systems. Non-equilibrium features demand a lot more computational effort coupled with extensive data analysis.

As a part of a five-member team in the S2DS August 2020, we tackled the problem of lowering the attrition rate for a healthy recipe box delivery company, Mindful Chef. We developed two unique out-of-the-box ideas for onboarding tools, in addition to the existing one used by the company. We processed the text data using NLP packages followed by dimensionality reduction (PCA) and topic modelling (LDA) to come up with two different games. This was then developed into an end-to-end Web App using Flask server a

I wrote efficient codes to diagonalize huge non-Hermitian matrices and compute meaningful observables. I also led the collaboration with an experimental group to see the effects of interactions on the transport properties in a quantum many body system.

I became involved in performing extensive numerical and computational calculations coupled with analysing large amounts of data to reveal the effects of population and mass imbalance in dipolar fermionic systems.

I completed my PhD working on advanced computational methods to numerically simulate quantum many body problems. During the course of my PhD, my research enabled the findings of novel quantum phases.