Scientific AI · 2025

Automated Hypothesis Generation

This is my current research direction around automated scientific hypothesis generation. The core idea is to build AI systems that do more than retrieve papers or summarize findings: they coordinate evidence gathering, graph reasoning, critique, and synthesis so researchers can move from scattered literature to testable scientific hypotheses. The project sits at the intersection of language models, multi-agent orchestration, knowledge graphs, scientific literature mining, and expert-in-the-loop research workflows.