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About Us
Who are we?
Our DNA: Science Meets Industry
Our DNA: Science Meets Industry
'OptiBayes Lab' is a next-generation technology company founded by Dr. Yu Duan, a recognised expert in machine learning, computational fluid dynamics (CFD), uncertainty quantification (UQ), and Bayesian Optimisation for complex engineering systems.
We specialise in fusing advanced AI methods with real-world engineering challenges, empower
'OptiBayes Lab' is a next-generation technology company founded by Dr. Yu Duan, a recognised expert in machine learning, computational fluid dynamics (CFD), uncertainty quantification (UQ), and Bayesian Optimisation for complex engineering systems.
We specialise in fusing advanced AI methods with real-world engineering challenges, empowering industries to unlock new levels of performance, reliability, and innovation.
Our mission is simple but ambitious: to democratise AI for engineers — through free, intuitive tools and customisable services that make cutting-edge science both accessible and actionable.
Our DNA: Science Meets Industry
Our DNA: Science Meets Industry
Our DNA: Science Meets Industry
AI-Powered Engineering
We develop and deploy powerful physics-regulated or data-driven ML models — from Bayesian neural networks to Gaussian processes — to supercharge simulation workflows, automate optimisation, and quantify uncertainty for safety-critical systems.
Free Tools, Real Impact
We offer a suite of user-friendly, free software
AI-Powered Engineering
We develop and deploy powerful physics-regulated or data-driven ML models — from Bayesian neural networks to Gaussian processes — to supercharge simulation workflows, automate optimisation, and quantify uncertainty for safety-critical systems.
Free Tools, Real Impact
We offer a suite of user-friendly, free software tools for data analysis, surrogate modelling, uncertainty quantification, and multi-objective optimisation — all supported by smart AI agents to guide usage and accelerate learning.
Secure & Customisable Solutions
Need more? We provide standalone tools, tailored to your industry’s unique demands — from energy and aerospace to sustainable infrastructure.
Why Work With Us?
Our DNA: Science Meets Industry
Why Work With Us?
Tailored AI Solutions
Whether you're seeking a drop-in surrogate model or a fully integrated digital twin framework, we adapt to your workflow — not the other way around.
End-to-End Support
From hands-on training to ongoing tool customisation, we collaborate with you throughout the R&D journey.
Ethical & Explainable AI
We believe in bui
Tailored AI Solutions
Whether you're seeking a drop-in surrogate model or a fully integrated digital twin framework, we adapt to your workflow — not the other way around.
End-to-End Support
From hands-on training to ongoing tool customisation, we collaborate with you throughout the R&D journey.
Ethical & Explainable AI
We believe in building robust, interpretable, secure and responsible AI — because trust and transparency are the future of engineering.
Dr. Yu Duan, BSc, PhD
Founder & AI-Driven Engineering Solutions Expert
I am a computational scientist and engineering innovator with over a decade of experience at the intersection of machine learning, uncertainty quantification, and fluid dynamics. My mission is to revolutionise how the engineering world tackles complexity, risk, and efficiency — by making AI-powered, data-driven decision-making a fundamental part of engineering design and operation.
After leading high-impact R&D projects at Imperial College London, collaborating with industrial giants like Rolls-Royce, EDF Energy, and Westinghouse, I am now building a next-generation company dedicated to AI for Engineering — delivering intelligent digital twins, physics-informed AI models, and trustworthy simulation tools for critical infrastructure, low-carbon energy systems, and advanced manufacturing.
My expertise spans Bayesian machine learning, multi-fidelity simulation, and surrogate modelling for thermo-fluids and multiphysics systems. I have developed my own scalable Gaussian Process libraries, created bespoke ML solutions for thermal fatigue prediction, critical heat flux estimation, and reactor safety, and secured over £550,000 in research funding to date.
I am passionate about fostering scientific leadership, collaborative innovation, and responsible AI. My work aims not just to solve technical problems, but to reshape how engineers approach uncertainty, sustainability, and trust in computational intelligence.
Whether it's a floating nuclear power plant, a hydrogen pipeline, or a next-gen turbine blade, our mission is clear: use AI to make engineering safer, smarter, and more sustainable.
