Hey, I'm Aisha.

I'm a Computational Biology Graduate Student & Software Engineer

I'm a software engineer with a background in scalable web development and a growing focus on machine learning, bioinformatics, and computational biology.

Currently pursuing a master's degree in Computational Life Sciences at Arizona State University, I'm building projects focused on genomics, data analysis, and AI-driven research tools.

About.

I'm a software engineer and computational biology graduate student focused on the intersection of machine learning, bioinformatics, and scientific computing.

With a background in scalable software development and data-driven applications, I'm now building projects centered around genomics, biological data analysis, visualization, and machine learning applications for scientific research while pursuing my master's degree in Computational Life Sciences at Arizona State University.

My goal is to combine engineering, data science, and biology to help create impactful tools for healthcare and scientific discovery.

When I’m away from the keyboard, I enjoy building Lego towers Lego Emoji with my children, experimenting with creative ideas, and exploring new technologies that inspire curiosity and innovation.

My links

Education

Master of Science

Arizona State University

Concentration on Computational Life Sciences (in progress)

Expected 2026

Bachelors of Science

University of Advancing Technology

Concentration on Software Engineering

2001

Associates of Science

University of Advancing Technology

Concentration on Application Development

2000

Associates of Science

Texas State Technical College

Concentration of Laser Electro-Optics

1997

Research & Machine Learning

PythonRTableauPandasNumpyScikit-LearnPyTorchTensorFlowMatplotlibSeabornLangChain

Engineering Stack

SQLJavaScriptTypeScriptReactReduxHTMLCSSJavaDartC#GitGitHubJiraJSONNext.js

Projects.

Polygenic Risk Score Bias in Type 2 Diabetes

GWAS - PRS - Genomics - Machine Learning - Computational Biology

Graduate research project exploring how ancestry, population structure, and genomic variation influence the performance and fairness of polygenic risk scores for Type 2 Diabetes prediction across diverse populations. Learn more>

Illusion of Originality

React - TailwindCSS - Framer Motion - GSAP - Next.js

Final project for BIO 511: Big Data in Context, analyzing the ethical implications of generative AI systems built on large scale scraping of human created content. Learn more with live demo >

Black Hair Detection

Roboflow - YOLO - Flask - PyTorch - Python - Numpy

I created a custom dataset using Roboflow to train a YOLOv8 model for detecting and classifying hairstyles commonly seen in Black communities. To showcase this model, I developed a live demo as part of my portfolio, featuring a Flask API for the backend. Learn more with live demo >

About Buzz

Next.js - React - TypeScript - Sass - Redis - OpenAI - LangChain - DataStax

A Retrieval-Augmented Generation (RAG) chatbot system designed to answer questions about my portfolio. Learn more>

Art Geek

PyTorch - Python - Pandas - Numpy - Matplotlib

A refined Vision Transformer (ViT) feature extractor model for computer vision that accurately predicts the genre and style of art pieces. Learn more with live demo >