Building AI-Powered Digital Twins for Science

We create digital twins of complex systems—from the human brain to the universe—that transform how science is done, offering a platform where scientists can make a discovery at an unprecedented speed.

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About Us

Reliable, Efficient, and ALigned AI

REAL AI for Science is a research initiative at UC Santa Barbara. Our mission is to pioneer the new age of scientific discovery with AI-powered digital twins.

Instead of chasing massive datasets, we build principle-driven AI rooted in math, multimodal data, and generative methods. This is REAL AI—Reliable, Efficient, and ALigned AI: reliable because it is grounded in mathematical rigor and known scientific laws, efficient because it thrives in data-scarce scientific settings, and human-aligned because it is co-designed with scientists and experiments to ensure meaningful, trustworthy discoveries.

25+ Researchers
10+ Collaborating Institutions

Our Approach

01

Geometric AI

Grounding our models in mathematical foundations and scientific first principles.

02

Multimodal Integration

Combining diverse data sources for comprehensive understanding of complex systems.

03

Generative Methods

Leveraging generative AI for data-scarce scientific environments.

Research Highlights

Discover Our Recent Work

Cosmology

Cosmology

Digital Twin of the Universe

Simulating cosmic structures and dark matter distributions to understand the fundamental physics governing our universe's evolution.

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Neuroscience

Neuroscience

Digital Twin of the Brain

Modeling neural circuits and cognitive processes to advance our understanding of brain function and neurological disorders.

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Diabetes

Diabetes

Digital Twin of the Pancreas

Creating personalized metabolic models to predict glucose dynamics and optimize treatment strategies for diabetes management.

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Get Involved

Join Our Mission

We're seeking passionate researchers to help shape the future of AI-powered digital twins.

Location Harold Frank Hall, UC Santa Barbara
Email ai@ece.ucsb.edu
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