π Postdoctoral Research Scientist | AI in Genomics | Computational Biologist
π¬ Passionate about unraveling genetic mysteries using AI, deep learning (DL), and bioinformatics to advance research in Alzheimerβs, cancer, and neurological disorders.
- 𧬠Expertise: AI-driven genomics, RNA-Seq, DNA analysis, GWAS, eQTL mapping, and precision medicine.
- π€ Tech Stack: Python, R, TensorFlow, PyTorch, Scikit-learn, GWAS Analysis (GEMMA, GCTA, PLINK), eQTL Analysis (TensorQTL, MatrixQTL), Fine-mapping.
- π¬ Research Focus: Identifying genetic biomarkers using DL/ML for early diagnosis and targeted treatments.
- π Publications: Google Scholar | ResearchGate
πΉ AI-driven RNA-Seq Analysis β Deep learning for biomarker identification, early-onset, targeted therapy.
πΉ Genetic Risk Prediction β ML models for Cancer (Multiple Myeloma), Alzheimerβs risk estimation.
πΉ eQTL Mapping β Identifying regulatory variants in cancer and neurological diseases.
π§ Email: [email protected]
π LinkedIn: linkedin.com/in/vivekruhela
π GitHub: github.com/vivekruhela
β Follow my work and letβs innovate together! π