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mtariqi/README.md

🧬 Building AI-driven Computational Methods for Precision Medicine


πŸ‘¨β€πŸ”¬ About Me

I am a Senior Research Scientist specializing in Computational Biology, Bioinformatics, Artificial Intelligence, and Precision Medicine.

My research combines genomics, transcriptomics, multi-omics integration, machine learning, and large language models (LLMs) to transform complex biological data into actionable insights for biomarker discovery, therapeutic target identification, and AI-assisted drug discovery.

Currently, I work as a Bioinformatician at the University of Arkansas for Medical Sciences (UAMS), where I develop scalable NGS pipelines, AI-driven computational workflows, and reproducible bioinformatics systems using TCGA and CPTAC datasets to advance cancer genomics research.

My long-term vision is to build intelligent computational systems that bridge biology and artificial intelligence to accelerate scientific discovery and improve patient outcomes.


πŸ”¬ Research Interests

🧬 Computational Biology

🧬 Cancer Genomics

🧬 Precision Oncology

🧬 Bioinformatics

🧬 Multi-Omics Integration

πŸ’Š Drug Discovery

πŸ€– Artificial Intelligence

🧠 Machine Learning & Deep Learning

πŸ“š Large Language Models (LLMs)

⚑ Agentic AI

☁️ Scientific Computing


Scientific Contributions

βœ” Hybrid-CORE

AI framework for rational drug combination discovery.

βœ” RTK/NRTK

Discovery of compensatory kinase networks using TCGA.

βœ” Biomedical Agentic RAG

LLM-powered biomedical evidence synthesis.

βœ” Foundation Models

Transformer models for genomic sequences.

βš™οΈ Technology Stack

Programming

Artificial Intelligence

Bioinformatics

Cloud & Infrastructure


πŸš€ Featured Research Projects

Project Description
🧬 Hybrid-CORE Multi-agent AI framework for rational combination drug discovery in Triple-Negative Breast Cancer
🧬 RTK/NRTK Multi-Omics Analysis AI-driven discovery of compensatory kinase networks using TCGA breast cancer datasets
πŸ€– Biomedical Agentic RAG LLM-powered biomedical literature retrieval, evidence synthesis, and hypothesis generation
🧠 Genomic Foundation Models Transformer architectures for genomic sequence modelling and variant effect prediction
🧬 Cancer Multi-Omics Pipeline Integrated RNA-Seq, mutation, pathway, and clinical analyses using TCGA and CPTAC
βš™οΈ Healthcare Streaming ETL Pipeline Production-ready healthcare data engineering platform using Airflow, PostgreSQL, and Terraform

πŸ“Š GitHub Statistics


πŸ“ˆ Current Research Focus

  • 🧬 AI for Precision Oncology
  • πŸ’Š Computational Drug Discovery
  • 🧠 Foundation Models for Genomics
  • πŸ“š Biomedical Large Language Models
  • ⚑ Agentic AI for Scientific Discovery
  • πŸ”¬ Cancer Multi-Omics
  • ☁️ Scalable Scientific Computing

🀝 Let's Collaborate

I welcome collaborations in

  • Computational Biology
  • Bioinformatics
  • Precision Medicine
  • Cancer Genomics
  • Artificial Intelligence
  • Drug Discovery
  • Machine Learning
  • Healthcare AI
  • Scientific Software Development

"Transforming Biological Data into Intelligent Therapeutic Discovery"

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