Rayaan Mirkar

Hi, I'm Rayaan, and I am passionate about using computational methods to analyze and understand advanced genetic material.

I am current working on implementing BiLSTM (bidirectional long short-term memory) neural networks, which excel at recognizing and capturing long-term patterns and motifs across a bacteriophage's proteome, with the goal of being able to eventually classify phage lifestyle with greater context and accuracy. I am also exploring efficient genome chunking methods for computationally efficient training.


I'm a freshman at Edison High School, where I am studying computational biology, neuroscience, and machine learning.

Profile Photo

Research

I've been curious about long term patterns in genetic material, and finding efficient ways to chunk genetic sequences to simplify computationally heavy tasks.

Project 1

PHAGER: Implementing BiLSTM Neural Networks To Classify Bacteriophage Lifestyle

Rayaan Mirkar

GitHub Repository

We used bidirectional neural networks to stimulate and train a model that analyzes long term motifs in bacteriophage proteomes, ultimately aiming to be able to predict phage lifestyle with greater context.