ai-research-publications
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical i
What is ai-research-publications?
High-school research portfolio: 2 peer-reviewed publications (IEEE, IJHSR) + 3 active projects spanning quantum-inspired ML, computational biology, biomedical imaging, wildfire RL, and science-education research. Stanford Medicine, UCLA COSMOS & UCSB SRA affiliated.
Overview of ai-research-publications
What it is
This repository is a research portfolio by Aaryan Samanta, a high-school student. It contains two peer-reviewed publications (at IEEE and IJHSR) and three active research projects. The projects cover quantum-inspired machine learning, computational biology, biomedical imaging, reinforcement learning for wildfire response, and science-education research. Affiliations include Stanford Medicine, UCLA COSMOS, and UCSB SRA.
Key features
- Two peer-reviewed publications: one at IEEE AIAM 2025 (quantum-inspired GA + GNN) and one at IJHSR 2026 (mitochondrial genetics in C. elegans).
- Three active projects: pelvic-floor ultrasound analysis at Stanford, a wildfire RL agent at UCLA COSMOS, and a biology visual literacy study.
- Repository includes code, papers, figures, and documentation for each project.
- Highlights include USACO perfect scores, AMC perfect score, and leadership in ethical AI education organizations.
Use cases
- Showcasing high-school research output in AI and computational biology.
- Providing reproducible code and data for the published papers.
- Demonstrating experience across multiple research domains (bioinformatics, clinical imaging, deep RL, education research).
Getting started
See the repository README for navigation and project-specific instructions. Each project subdirectory has its own deep-dive README.
License and pricing
The license is not stated in the metadata. Code in the quantum-inspired GA + GNN project is MIT-licensed. Clinical data in the Stanford project is all rights reserved.
Based on the project's public README and repository metadata.
