AI Applications Portfolio

Specializing in LLM-Powered Tools for Research Data Management

Bridging cutting-edge AI technology with scientific research workflows

Large Language Models Workflow Automation MCP Servers Data Evaluation

AI-Powered Tools

Innovative applications leveraging LLMs for research data management

DataPLAN

LLM-Powered Data Management Plan Generator for Plant Sciences

DataPLAN leverages large language models to automatically generate comprehensive, compliant data management plans. The tool integrates LLM workflows to understand research contexts, suggest appropriate metadata standards, and create structured DMPs that meet funder requirements.

Technologies: LLM Integration Workflow Automation ISA Framework Research Data Management

Live Demo

Interactive DMP generation with AI assistance

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AI-Powered Conversion

Free text protocols → Standardized Excel/ARC

Try elab2arc

elab2arc

AI-Driven Conversion of Experimental Protocols to Standardized Formats

elab2arc uses advanced natural language processing and LLMs to automatically parse free-text experimental protocols from electronic lab notebooks and convert them into standardized, machine-readable Excel files compliant with ARC (Annotated Research Context) specifications. This tool dramatically reduces manual data entry and ensures reproducibility.

Technologies: NLP LLM Parsing ARC Specification Data Standardization

DataPLAN MCP Server

Model Context Protocol Server for Research Data Management

A custom-built MCP (Model Context Protocol) server that enables AI assistants like Claude to directly interact with DataPLAN functionality. This server provides structured access to data management planning capabilities, allowing seamless integration of DMP generation into AI-powered research workflows.

Technologies: Model Context Protocol Server Development API Integration Claude AI
{
  "server": "dataplan-mcp",
  "tools": [
    "generate_dmp",
    "validate_metadata",
    "suggest_standards"
  ],
  "integration": "claude-ai"
}

AI Evaluation Expertise

Leveraging AI for comprehensive quality assessment and optimization

Project Evaluation

AI-powered assessment of research projects, analyzing methodology, data quality, and reproducibility using LLM-based evaluation frameworks.

Code Review

Automated code quality analysis, documentation assessment, and best practice recommendations using AI-assisted review systems.

DMP Analysis

Comprehensive evaluation of Data Management Plans for compliance, completeness, and best practices using LLM validation workflows.

Data Quality Assessment

AI-driven data quality checks, metadata validation, and standardization recommendations for research data.

Evaluation Capabilities

  • Automated compliance checking
  • Metadata quality analysis
  • Documentation assessment
  • FAIR principles evaluation
  • Reproducibility scoring
  • Standards compliance verification
  • Data structure optimization
  • AI-assisted recommendations

Technical Skills

Expertise spanning AI, data management, and scientific computing

AI & Machine Learning

Large Language Models (GPT, Claude) Natural Language Processing LLM Workflow Integration Prompt Engineering AI-Assisted Evaluation

Integration & Protocols

Model Context Protocol (MCP) API Development Workflow Automation Server Development Claude AI Integration

Research Data Management

ISA Framework ARC Specification Data Management Plans Metadata Standards FAIR Principles Data Standardization

Development & Tools

Python JavaScript WebAssembly Git/GitHub Bootstrap RESTful APIs

Domain Expertise

Plant Sciences Bioinformatics Scientific Computing Data Quality Assessment Electronic Lab Notebooks

Open Source Contributions

Explore my repositories and contribute to research data tools

DataPLAN

Web-based data management plan generator for plant sciences with LLM integration

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elab2arc

AI-powered converter from electronic lab notebook protocols to ARC format

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dataplan-mcp

Model Context Protocol server for integrating DataPLAN with AI assistants

Stars Forks
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Interested in Collaboration?

Let's discuss how AI can enhance your research data workflows