๐ Postdoctoral Research Scientist | AI in Genomics | Computational Biologist
๐ฌ Passionate about unraveling genetic mysteries using AI, deep learning (DL), and bioinformatics to advance research in Alzheimerโs, cancer, and neurological disorders.
- ๐งฌ Expertise: AI-driven genomics, RNA-Seq, DNA analysis, GWAS, eQTL mapping, and precision medicine.
- ๐ค Tech Stack: Python, R, TensorFlow, PyTorch, Scikit-learn, GWAS Analysis (GEMMA, GCTA, PLINK), eQTL Analysis (TensorQTL, MatrixQTL), Fine-mapping.
- ๐ฌ Research Focus: Identifying genetic biomarkers using DL/ML for early diagnosis and targeted treatments.
- ๐ Publications: Google Scholar | ResearchGate
- My Academic Website
๐น AI-driven RNA-Seq Analysis โ Deep learning for biomarker identification, early-onset, targeted therapy.
๐น Genetic Risk Prediction โ ML models for Cancer (Multiple Myeloma), Alzheimerโs risk estimation.
๐น eQTL Mapping โ Identifying regulatory variants in cancer and neurological diseases.
๐ง Email: vr2592@cumc.columbia.edu
๐ LinkedIn: linkedin.com/in/vivekruhela
๐ GitHub: github.com/vivekruhela
โญ Follow my work and letโs innovate together! ๐


