Bridging Biology, AI, and Technology
I'm Hazrat Maghaz, a passionate Bioinformatics Researcher and Computational Biologist from Pakistan. Currently pursuing my Master's in Bioinformatics at NUST School of Interdisciplinary Sciences and Engineering (SINES), I'm on a mission to revolutionize healthcare through the power of AI and computational biology.
My research journey focuses on developing AI-based classifiers for rare cancer diseases using DNA methylation data—a cutting-edge approach that combines epigenomics with machine learning to improve early cancer detection. I bridge the wet lab and computational worlds, having hands-on experience with DNA extraction (SDS kit), PCR, and ELISA, while mastering computational techniques in genomics, transcriptomics, metagenomics, and single-cell sequencing.
My expertise spans computational drug design (rational drug design), molecular docking, QSAR modeling, and NGS analysis. On the AI front, I work extensively with Machine Learning, Deep Learning, Natural Language Processing, and Large Language Models—applying these technologies to solve complex biological problems and accelerate drug discovery.
As founder of InnoHelix, I'm building an AI-assisted bioinformatics workflow platform for pipeline automation, parameter guidance, and reproducible analysis. Through Omics Nexus, I support bioinformatics training, analysis services, and research workflows for students, researchers, and scientific teams.
"Transforming biological data into life-saving insights through AI, one algorithm at a time."
Bioinformatics & AI
Specialized Services
@dromics05Research Software
Scientific tools and dashboards
@maazkhan141
Level One Seller
100% Client Satisfaction • 30+ Projects
Research Support
Verified Service
5.0 Rating
100% Satisfaction
24-48H
Quick Turnaround
50+ Projects
Delivered Successfully
Skills That Drive Results
Bioinformatics & Computational Biology
- Molecular Docking (GOLD, AutoDock)
- QSAR Modeling & Drug Discovery
- NGS Data Analysis
- Gene Expression Analysis
- Microbiome Analysis
- Protein Structure Prediction
AI/ML & Data Science
- Machine Learning (Scikit-learn)
- Deep Learning (TensorFlow, PyTorch)
- SHAP Model Interpretation
- Random Forest & XGBoost
- Feature Engineering
- Predictive Analytics
Research Software Development
- Next.js Dashboards
- FastAPI & Python APIs
- Scientific Web Tools
- Workflow Platforms
- Data Visualization
- Database Management
Featured Projects
Showcasing my best work in bioinformatics, AI/ML, and computational biology
RNA-seq Crohn's Disease Analysis
Differential expression and Hallmark GSEA workflow using DESeq2 and R.
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QSAR IC50 Prediction with RDKit + SHAP
AI-based QSAR pipeline for pIC50 prediction, model comparison, applicability-domain diagnostics, and SHAP-ready interpretation.
hERG Pharmacophore Modeling in MOE
MOE-based pharmacophore modeling workflow for hERG inhibitor screening, feature mapping, and hit evaluation.
Bioinformatics Python Basics
Beginner-friendly Python/Biopython scripts for sequence analysis, FASTA/FASTQ handling, k-mers, ORFs, and NCBI/PubMed retrieval.
InnoHelix Platform
AI-assisted bioinformatics workflow platform concept for pipeline automation, parameter guidance, and reproducible analysis.
Medical / Image Classification AI
Deep-learning image classification workflow for AI/ML learning and medical-imaging style projects. Private/in progress.
What I Offer
Professional services in bioinformatics, AI/ML for biological data, drug discovery, and research software
Bioinformatics Analysis
RNA-seq, NGS, microbiome, pathway enrichment, and biological interpretation.
AI/ML for Biological Data
Predictive modeling, classification, regression, explainable AI, and model evaluation.
Computational Drug Discovery
QSAR, ADMET, docking, pharmacophore modeling, and MD simulation workflows.
Research Software Development
Dashboards, APIs, workflow platforms, and scientific web tools.
Scientific Dashboards
Interactive visualization tools for omics, ML, and molecular-modeling results.
Training & Consultation
Bioinformatics mentoring, workflow guidance, and technical project planning.
Why Work With Me?
Combining scientific expertise with technical excellence
Results-Driven Approach
Every project is delivered with precision, backed by scientific methodology and industry best practices
Fast Turnaround
Quick delivery without compromising quality. Most projects completed within 24-48 hours
Proven Track Record
50+ successfully delivered research and software projects with consistent client satisfaction
Scientific Rigor
Biochemistry background ensures accurate, publication-ready results for research projects
Unlimited Revisions
Your satisfaction is my priority. I work with you until you're 100% happy with the results
Clear Communication
Regular updates, transparent pricing, and always available to answer your questions
Client Reviews
Trusted by researchers, businesses, and students worldwide
"Hazrat is an exceptional talent in computational chemistry and building AI models. He delivered exactly what was promised with a clear, professional project plan and perfectly formatted proof-of-concept output."
David Taylor
Research Scientist
Ready to Start Your Next Project?
Whether you need bioinformatics analysis, AI/ML workflows, computational drug discovery support, or research software development, I'm open to discussing your project.
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