Local implementation of Meta's Rubric Rewards methodology (arxiv 2512.23707) for training AI co-scientists using QLoRA on RTX 5090. 830 Vanderbilt research papers across biomedical, ML, and spatial transcriptomics domains.

This repository provides a practical, data-centric AI/ML module for biomedical researchers. It covers R programming, data preparation, model building, and AI/ML applications using AWS SageMaker and Jupyter notebooks.

A curated collection of Jupyter notebooks, datasets, and ML models applying bioinformatics, statistics, and AI to real-world biomedical problems—spanning cancer, diabetes, blood pressure, protein-ligand binding, and clinical trials. Designed for research, teaching, and diagnostics.

👋 Hey there, I'm Bhomika Ratna Mandavi I'm an enthusiastic Machine Learning researcher with a strong interest in medical imaging, biomedical signal processing, and AI-driven healthcare applications. Passionate about building robust preprocessing pipelines, interpretable ML models, and research-oriented solutions for real-world problems.