🚀Postdoctoral Research Scientist | AI in Genomics | Computational Biologist
🔬 Passionate about unraveling genetic mysteries usingAI, deep learning (DL), and bioinformatics to advance research inAlzheimer’s, cancer, and neurological disorders.

• 🧬Expertise: AI-drivengenomics, RNA-Seq, DNA analysis, GWAS, eQTL mapping, and precision medicine.
• 🤖Tech Stack: Python, R, TensorFlow, PyTorch, Scikit-learn, GWAS Analysis (GEMMA, GCTA, PLINK), eQTL Analysis (TensorQTL, MatrixQTL), Fine-mapping.
• 🔬Research Focus: Identifying genetic biomarkers usingDL/ML for early diagnosis and targeted treatments.
• 📚Publications:Google Scholar |ResearchGate

🔹AI-driven RNA-Seq Analysis – Deep learning for biomarker identification, early-onset, targeted therapy.
🔹Genetic Risk Prediction – ML models for Cancer (Multiple Myeloma), Alzheimer’s risk estimation.
🔹eQTL Mapping – Identifying regulatory variants in cancer and neurological diseases.

📧Email:vr2592@cumc.columbia.edu
🔗LinkedIn:linkedin.com/in/vivekruhela
📁GitHub:github.com/vivekruhela

⭐Follow my work and let’s innovate together! 🚀

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