Hi, I’m Hazrat Maghaz — a Bioinformatician, Computational Biologist, AI enthusiast, and research-software builder.
I work at the intersection of biology, machine learning, molecular modeling, and full-stack development. My core focus is building reproducible workflows for NGS analysis, AI-driven drug discovery, QSAR modeling, molecular docking/MD simulations, and scientific web applications.
Alongside my academic and freelance work, I am building InnoHelix and Omics Nexus with the goal of making bioinformatics tools, training, and research workflows more accessible, reproducible, and useful for students, researchers, and biotech teams.
From molecules to models — bridging biology, AI, and code.
| Area | What I Do |
|---|---|
| 🧬 Bioinformatics & NGS | RNA-seq analysis, differential expression, pathway enrichment, sequence analysis, and reproducible omics workflows. |
| 💊 AI for Drug Discovery | QSAR/pIC50 prediction, molecular fingerprints, ADMET-style modeling, SHAP-based interpretation, pharmacophore modeling, docking, and MD simulations. |
| 🤖 Machine Learning & Deep Learning | Classical ML, explainable AI, model evaluation, computer vision, medical imaging, and biological-data modeling. |
| 💻 Research Software & Web Apps | Python pipelines, FastAPI backends, Next.js/React interfaces, dashboards, and bioinformatics SaaS-style tools. |
| 🧪 Scientific Reporting | Clean project documentation, visualizations, reproducible methods, and client/research-ready reports. |
| Project | Focus | Description |
|---|---|---|
| 🧬 RNA-seq Crohn’s Disease Analysis | R DESeq2 GSEA Transcriptomics |
Differential expression and Hallmark GSEA workflow for Crohn’s Disease RNA-seq data with organized scripts, figures, and reproducible documentation. |
| ⚗️ QSAR IC50 Prediction with RDKit + SHAP | Python QSAR Scikit-learn SHAP |
AI-based QSAR pipeline for pIC50 prediction using molecular fingerprints, model comparison, applicability-domain diagnostics, and explainable modeling. |
| 💊 hERG Pharmacophore Modeling in MOE | MOE Pharmacophore Virtual Screening |
Pharmacophore modeling workflow for hERG inhibitor screening, including feature mapping, conformer database handling, and hit evaluation. |
| 🐍 Bioinformatics Python Basics | Python Biopython NCBI |
Beginner-friendly Python and Biopython scripts for sequence analysis, FASTA/FASTQ handling, k-mers, ORFs, PubMed/NCBI retrieval, and learning core bioinformatics logic. |
| 🧠 Medical / Image Classification AI | PyTorch Computer Vision Deep Learning |
Image-classification workflows for AI/ML learning and medical-imaging style projects. This section will be updated after the repo cleanup. |
| 🌐 Research Web Tools | Next.js FastAPI Dashboards |
Full-stack tools and dashboards for bioinformatics workflows, model visualization, and research pipeline deployment. |
mindmap
root((Hazrat Maghaz))
Bioinformatics
RNA-seq
NGS pipelines
Microbiome
Multi-omics
AI Drug Discovery
QSAR
SHAP/XAI
Docking
MD simulations
Pharmacophore modeling
Machine Learning
Biological data
Medical imaging
Model evaluation
Explainability
Research Software
Next.js
FastAPI
Dashboards
Pipeline platforms
I’m open to research collaborations, freelance bioinformatics projects, AI/ML workflows, computational drug discovery projects, and custom scientific dashboards.