Gaurav Arya

Gaurav  Arya
MIT EECS | Philips Undergraduate Research and Innovation Scholar
Advisor: Alan Edelman
Department: Mathematics & Electrical Engineering and Computer Science
Areas of Research: Computational Biology
Years: 2022-2023
Research Project Title:

Learning Discrete Stochastic Models of Eukaryotic Transcription

abstract:The goal of my project is to accurately predict how transcription factors configure chromatin and facilitate transcription across the genome. For background, transcription factors are sequence-specific DNA-binding proteins that regulate transcription, which is the process of turning a segment of DNA into RNA. This process is often modeled with discrete stochastic simulations whose parameters need to be learned. I aim to develop new methods for fitting the parameters of these discrete simulations, and then apply them to build a more accurate kinetic model of the effect of perturbing the amount of transcription factors in a cell, with applications to cellular programming.

I am participating in SuperUROP because I am very interested in new scientific computing techniques and their potential to accelerate scientific discovery. I am excited to apply my background in mathematics and computer science, and also to learn a lot about data science and computational biology.