ProAI.science

AI-Assisted Scientific Tools for Everyone

Open-source tools that bridge wet-lab biology and computational analysis, making rigorous science accessible to researchers everywhere.

Explore Tools View on GitHub

Our Mission

ProAI.science is dedicated to democratizing computational tools for scientific research. We believe that powerful analytical capabilities shouldn't require extensive coding expertise or expensive proprietary software.

By combining AI assistance with rigorous validation and open-source principles, we create tools that maintain scientific integrity while dramatically improving accessibility and efficiency. Every tool is free, well-documented, and designed with both computational scientists and wet-lab researchers in mind.

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Rigorous Science

Every tool is validated against gold-standard methods with transparent performance metrics

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Open Source

All tools are freely available under permissive licenses, fostering collaboration and innovation

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Accessible

Designed for scientists without coding expertise, with comprehensive documentation and examples

Available Tools

ProAI-ELISA

v0.1.0 | Released December 2024

AI-assisted R-based toolkit that automates ELISA analysis with 4-parameter logistic curve fitting and seamless GraphPad Prism export. Achieves 96% accuracy vs. manual analyses while reducing analysis time by 98%.

Key Features:

✅ Automated 4PL standard curve fitting (R² > 0.99 typical)
✅ Handles mixed replicates (singlets, duplicates, triplicates)
✅ Automatic dilution correction
✅ Publication-ready plots (PDF output)
✅ One-click GraphPad Prism export
✅ 100% open-source (MIT License)

96% Accuracy

98% Time Saved

$9K+ Annual Savings

View on GitHub → Download v0.1.0

R ELISA 4PL Regression Prism Export

About the Creator

Geoffrey Pronovost, Ph.D. is a molecular biologist and immunologist with 9+ years of experience bridging wet-lab experimental biology and computational approaches in drug discovery and inflammatory disease research.

Currently a Research Scientist at Thornhill Therapeutics, Geoff develops AI-assisted analytical tools and in vitro screening platforms. His research background spans host-microbiome interactions, immunology, and placental biology, with first-author publications in Science Advances and Immunity, and co-author contributions in Nature, Nature Microbiology, and Cell Host & Microbe.

Beyond the bench, Geoff is passionate about democratizing scientific tools and making computational analysis accessible to researchers without coding expertise. ProAI.science represents his commitment to building open-source tools that maintain scientific rigor while dramatically improving efficiency and accessibility.

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