Projects
Selected AI research and engineering projects combining machine learning, scientific computing and biomedical applications.
Featured Project
🧬 BioResearch-AI
An extensible AI platform for biomedical literature discovery, evidence synthesis and scientific reasoning.
Overview
BioResearch-AI explores how agentic AI systems can assist scientists by combining large language models, retrieval systems, literature analysis and structured reasoning workflows.
Research Motivation
Scientific discovery increasingly depends on navigating thousands of publications, datasets and experimental results. This project investigates AI systems capable of supporting researchers through automated information retrieval, synthesis and hypothesis generation.
Key Technologies
Research Projects
Chemical Foundation Models Evaluation
Evaluation framework for analyzing chemical foundation models and their ability to learn meaningful molecular representations.
This project investigates modern representation learning approaches for molecular data and their applications in chemical property prediction.
Siamese Transfer CCS
Deep learning framework for collision cross-section prediction using transfer learning and molecular representations.
Developed as part of research published in international machine learning conferences, focusing on improving model generalization across molecular datasets.
Software & Personal Projects
Personal AI Portfolio Website
A personal platform showcasing artificial intelligence, machine learning and software engineering projects across computational biology, physics, chemistry and AI.
How I Build AI Systems
My projects usually follow a research-driven engineering workflow: