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.
𧬠Computational Biology
𧬠Cancer Genomics
𧬠Precision Oncology
𧬠Bioinformatics
𧬠Multi-Omics Integration
π Drug Discovery
π€ Artificial Intelligence
π§ Machine Learning & Deep Learning
π Large Language Models (LLMs)
β‘ Agentic AI
βοΈ Scientific Computing
β Hybrid-CORE
AI framework for rational drug combination discovery.
β RTK/NRTK
Discovery of compensatory kinase networks using TCGA.
β Biomedical Agentic RAG
LLM-powered biomedical evidence synthesis.
β Foundation Models
| Project | Description |
|---|---|
| 𧬠Hybrid-CORE | Multi-agent AI framework for rational combination drug discovery in Triple-Negative Breast Cancer |
| 𧬠RTK/NRTK Multi-Omics Analysis | AI-driven discovery of compensatory kinase networks using TCGA breast cancer datasets |
| π€ Biomedical Agentic RAG | LLM-powered biomedical literature retrieval, evidence synthesis, and hypothesis generation |
| π§ Genomic Foundation Models | Transformer architectures for genomic sequence modelling and variant effect prediction |
| 𧬠Cancer Multi-Omics Pipeline | Integrated RNA-Seq, mutation, pathway, and clinical analyses using TCGA and CPTAC |
| βοΈ Healthcare Streaming ETL Pipeline | Production-ready healthcare data engineering platform using Airflow, PostgreSQL, and Terraform |
- 𧬠AI for Precision Oncology
- π Computational Drug Discovery
- π§ Foundation Models for Genomics
- π Biomedical Large Language Models
- β‘ Agentic AI for Scientific Discovery
- π¬ Cancer Multi-Omics
- βοΈ Scalable Scientific Computing
I welcome collaborations in
- Computational Biology
- Bioinformatics
- Precision Medicine
- Cancer Genomics
- Artificial Intelligence
- Drug Discovery
- Machine Learning
- Healthcare AI
- Scientific Software Development
