AI Scientist Agents
A canvas-based AI research platform that enables highly collaborative human-AI scientific workflows. Design, execute, and analyze experiments through intuitive visual interfaces powered by intelligent AI agents.
Canvas-Powered Research Platform
ReScience Lab combines visual workflow design with AI intelligence to create the most intuitive and powerful research environment for modern scientists.
Canvas-Based Workflow
Design complex research workflows on an intuitive visual canvas where every component connects seamlessly.
AI-Human Collaboration
Work alongside intelligent AI agents that understand your research context and provide real-time assistance.
Visual Analytics
Transform data into insights with interactive visualizations and AI-powered analytical tools.
Intelligent Automation
Let AI agents handle routine tasks while you focus on creative problem-solving and discovery.
Seeking Investment Partners
ReScience Lab is currently seeking funding to accelerate our development and expand our platform. We welcome investors interested in the future of scientific research and AI integration.
How It Works
Experience the future of scientific research through our canvas-based platform that puts human-AI collaboration at the center of discovery.
Design on Canvas
Create your research workflow visually by dragging and connecting components on our intelligent canvas interface.
AI-Assisted Execution
Execute experiments with AI agents that monitor, optimize, and provide real-time insights throughout the process.
Collaborative Intelligence
Our platform seamlessly integrates human creativity with AI capabilities, enabling unprecedented research productivity and innovation.
Meet Our Team
The talented team behind ReScience Lab, bringing together expertise in science, technology, and business.
Yilin Jing
Founder
Serial entrepreneur and computational scientist, currently founding ReScience Lab. He holds an MSc in Applied Computational Science and Engineering from Imperial College London, with experience as a data analyst, technical lead, and product manager. This is his fourth venture, building on his strong development background. As an open-source contributor, his E2M project received over 1,000 stars on GitHub. Guided by principles of "freedom over growth, sustainability over speed, life over work," he's creating an interdisciplinary scientific platform that makes complex research workflows intuitive and reproducible, offering AI-powered tools for fields like bioinformatics and medical informatics.
Liang Fang
Senior Backend Architect
Senior backend architect with deep expertise in distributed systems, system design, and infrastructure at scale. Liang holds a Master's in Computer Science from Georgia Tech and has six years of experience across Amazon and Meta. At Meta, he served as backend architect for Business Suite's Instagram integration, driving system reliability, privacy compliance, and multi-surface monetization—impacting millions of advertisers globally. At Amazon, he built fault-tolerant offer publishing and pricing pipelines in AWS Marketplace, enabling high-availability deployments across regions. His strengths span large-scale service orchestration, cross-system API design, and privacy-by-default architecture. Now at ReScience Lab, Liang is building AI-native infrastructure from the ground up, enabling scalable, secure, and performant systems to power the next generation of intelligent products.
Join Waitlist
Join the future of scientific research. Our canvas-based AI platform is revolutionizing how researchers design, execute, and collaborate on experiments through intelligent human-AI workflows.
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