Available for AI & Data Science Collaboration

Mubashir Ali

AI Expert • Data Scientist • Bioinformatics Researcher

Pioneering the future of AI in life sciences.Founder @ Code with Bismillah, creator of AI-powered genomics solutions, and leading researcher in machine learning applications for computational biology.

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Founder

Code with Bismillah

About Me

Transforming complex biological data into intelligent solutions through cutting-edge AI, machine learning, and data science innovations.

As an AI Expert and Data Scientist, I specialize in developing intelligent systems for genomics, bioinformatics, and computational biology. My work combines cutting-edge machine learning algorithms with biological data to create transformative solutions in precision medicine and life sciences.

Founder of Code with Bismillah, I've developed revolutionary AI-powered platforms includingGeneFix AI for predictive genomics and mutation analysis, andGenomeHouse, an intelligent framework for genome data processing and visualization.

My research focuses on artificial intelligence in healthcare, deep learning applications in genomics, and developing scalable data science solutions for biological research. I'm passionate about democratizing AI tools for researchers worldwide.

Education

Bachelor's in Bioinformatics

Quaid-i-Azam University

Specialization

AI & Data Science

Machine Learning & AI Systems

Technical Expertise

AI & Machine Learning95%

Data Science & Analytics92%

Python & Bioinformatics90%

Deep Learning & Neural Networks88%

Research & Innovation

Pioneering AI-driven solutions at the intersection of machine learning, data science, and computational biology.

GeneFix AI

Revolutionary AI-powered platform combining deep learning algorithms with CRISPR-Cas9 technology for intelligent mutation detection and correction, advancing precision gene editing through artificial intelligence.

Deep LearningAICRISPRNeural Networks

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GenomeHouse

Intelligent Python framework powered by machine learning algorithms for automated genome data preprocessing, sequence alignment, and AI-driven visualization, revolutionizing bioinformatics workflows.

PythonMachine LearningData ScienceAI Visualization

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Bio Data Hub

AI-powered centralized platform for storing, analyzing, and sharing omics datasets with advanced machine learning analytics capabilities, enabling intelligent collaborative research and data-driven discoveries.

Big DataAI AnalyticsData ScienceCloud AI

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Curated Open-Source Datasets

Genomics & ML Datasets

Explore our cleaned, high-dimensional, and machine learning-ready biological datasets published on Kaggle and GitHub for open-access research.

Cleaned & ML-Ready

TNBC PRRX1 RNA-Seq Dataset

NCBI GEO GSE202769 • Complete Factorial temporal EMT setup

Highly curated transcriptomics count matrix for 48 aggressive Triple-Negative Breast Cancer samples (4 cell line lineages, wt vs dH3 mutant constructs, dox-induced over-expression, 3 timepoints) normalized to Counts Per Million (CPM) and variance-stabilized via log2(CPM+1).

48Samples

16,127Features

100%ML Ready

Triple-NegativePRRX1RNA-SeqEMT KineticsLog2-CPMClassification

License: CC0 (Public Domain)Read Cleaning Pipeline →

Kaggle Dataset GitHub Repo

Processed Matrix

Breast Cancer Gene Expression Processed Data

ML Benchmarks • Curated gene expression classification features

Highly processed transcriptomics classification matrix optimizing breast cancer diagnostics. Formatted with samples as rows and over 30,000 processed genomic expression markers as features, optimized for deep learning models and distance-based SVM frameworks.

MultiCohorts

30,000+Features

CC0Public Domain

OncologyBreast CancerGene MarkersHigh DimensionalFeature Extraction

License: CC0 (Public Domain)Verification verified

Kaggle Dataset GitHub Repo