Hey there! I'm Ayaan

Using machine learning to interpret the language of biological sequences from DNA, RNA, to protein for drug discovery, genomics, and protein engineering.

Undergraduate BASc in Biomedical Engineering student at the University of Waterloo passionate about R&D in machine learning for bioinformatics, particularly to develop novel therapeutics using computational drug discovery, protein engineering, and computational genomics.

Portrait of Ayaan

What I Work On

DNA, RNA, and Protein Sequencing

Analyzing and modeling biological sequence data to understand biological functions

Machine Learning for Bioinformatics

Applying ML models to multiomics and biological datasets to develop newfound insights

Drug Discovery and Protein Engineering

Targeted efforts in genetic engineering and biomolecular interactions for drug discovery

Research-Driven Software

Building reproducible, well-documented tools and projects for scientific discovery

Featured Projects

Cancer Classifier

Designed and programmed a machine learning pipeline to classify cancer using methylation data.

Machine Learning · Genomics View Project

Promoter Classification

Developed a machine learning pipeline that uses SVM, logistic regression, and random forest to classify promoter regions.

Genomics · Machine Learning View Project

GFP Insertion into Plasmid

Modelled GFP insertion into yeast plasmid using Benchling and gene sequence libraries.

Bioinformatics · CRISPR View Project

Writing & Research

Modelling a Fluorescent Yeast Plasmid

A walkthrough of how you can edit yeast plasmids using Benchling and genome databases.

Research · 2025 Read More

AlphaFold and the Future of Synthetic Biology

Exploring DeepMind's AI platform that can model 3D protein folding.

Research · 2024 Read More