Worapol Yingyuen@thenwrps
2
Events attended
2
Submissions made
Thailand
1 year of experience
About me
Founder of dFRYX Lab, building DIFARYX: scientific workflow intelligence for experimental R&D teams. DIFARYX helps researchers connect spectra, notes, assumptions, validation gaps, and reports into traceable scientific decisions.
🤓 Latest Submissions
DIFARYX
DIFARYX is an AI-powered scientific workflow intelligence platform designed to help researchers move from raw experimental data to defensible scientific decisions. Modern R&D teams generate large amounts of characterization and experimental data, but interpreting evidence, identifying uncertainties, and deciding what to do next remains a manual and time-consuming process. DIFARYX addresses this challenge by providing an evidence-centered reasoning workflow that connects experimental observations, scientific interpretation, validation gaps, and recommended next actions. The platform guides researchers through a structured workflow: Research Objective → Experimental Context → Evidence Workspace → Agent Reasoning → Validation Gap Analysis → Next Experiment Recommendation → Notebook & Report Generation DIFARYX supports scientific data interpretation across multiple characterization techniques, including XRD, XPS, FTIR, and Raman spectroscopy. Instead of producing unsupported conclusions, the system applies scientific guardrails that distinguish evidence from claims, explicitly communicate uncertainty, and highlight missing validation requirements. Using AI reasoning agents, DIFARYX evaluates experimental evidence, generates traceable reasoning paths, identifies limitations in available data, and proposes the most relevant follow-up experiments. The platform then converts the complete reasoning process into reproducible notebook records and structured scientific reports. For this hackathon, DIFARYX demonstrates how AI can transform disconnected experimental results into transparent, evidence-based scientific workflows. By combining scientific reasoning, validation-aware decision support, and automated documentation, DIFARYX helps researchers accelerate discovery while maintaining scientific rigor and reproducibility.
31 May 2026
DIFARYX Evidence Agent
DIFARYX is an evidence-grounded AI agent platform for scientific research workflows. It helps researchers move from raw experimental files to interpretable signals, project-level insight, and structured reports without jumping across fragmented tools. The system begins in a workspace where uploaded files are converted into inspectable scientific evidence. Researchers can review processing parameters, adjust settings, reprocess results, and compare how those changes affect the final interpretation. The AI Agent then acts as a reasoning layer over the project evidence. Researchers can ask natural-language questions such as what the result suggests, where anomalies appear, or how different evidence should be interpreted together. Unlike a generic chatbot, DIFARYX prioritizes project-specific data as its context, making responses more grounded, traceable, and useful for real research decisions. Results can then be captured in Notebook Lab and converted into reports for review, collaboration, and decision records. The goal is to make scientific data workflows faster, more transparent, and more enterprise-ready.
19 May 2026
