Engineering the Future of Autonomous Science
We build Agentic AI systems and probabilistic models to automate discovery and optimize complex physical systems.
AI for Scientific Discovery and Automation
- Building intelligent systems that automate research workflows and accelerate scientific and engineering discovery.
AI-Driven Scientific Discovery Systems
- Develop AI tools that analyze complex scientific data, guide experimentation, and discover patterns or models in large experimental or simulation datasets.
Agentic AI and Research Automation
- Design autonomous or semi-autonomous AI agents that interact with computational tools, scientific databases, and experimental platforms to automate research and engineering workflows.
AI for Physical Systems
- Applying machine learning and data science to understand, predict, and optimize complex engineering and scientific systems governed by physical laws.
Scientific Machine Learning
- Develop machine learning models that incorporate physics, mechanistic models, and experimental data to improve predictive performance and interpretability. Applications include physics-informed learning, hybrid modeling, and AI-assisted simulation.
Computational Modeling and Digital Twins
- Design computational models and digital twins of engineering systems to enable simulation-driven design, predictive analytics, and system optimization.
Recent Insights
The Humans
Our solutions are driven by world-class researchers and engineers at the intersection of applied mathematics, scientific machine learning, and complex physical systems.
