Webinar

Dyad 3.0 Launch

Webinar

Dyad 3.0 Launch

Event Date & Time

EDT

Speakers

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Event Date & Time

EDT

Speakers

Share

Join us as we celebrate the official launch of Dyad 3.0, the next evolution in model-based engineering powered by Scientific AI.

This is a live product reveal designed to give you a front-row seat to what’s coming next, alongside voices from organisations already building with Dyad, including Synopsys, Mitsubishi Electric Research Laboratories, Binnies, and Boeing.

The Agenda: 

  • A first look at Dyad 3.0
    Explore the newest capabilities shaping the future of engineering workflows

  • Live demos in action
    See how Dyad is applied across real-world use cases

  • Exclusive content
    Watch videos and insights you won’t find anywhere else

  • Voice of the Customer

Hear directly from teams building and working with Dyad today

  • The future of Agentic AI
    Understand how AI is transforming systems engineering

As AI moves deeper into engineering and design workflows, the way systems are built, simulated, and optimized is changing fast.

Dyad 3.0 represents a step forward in how teams:

  • Build models faster from specifications

  • Integrate AI into engineering processes

  • Move from simulation to decision-making more efficiently

This event gives you a clear view of where the industry is heading—and how to stay ahead.

Who Should Attend?

  • Engineering leaders and practitioners

  • Systems and simulation engineers

  • Digital twin and modeling teams

  • Innovation and R&D leaders exploring AI adoption

Be part of the moment. Experience the launch as it happens.


Speakers

Dr. Viral B. Shah is one of the creators of the Julia programming language and co-founder and CEO of JuliaHub. In 2019, Dr. Shah received the prestigious James H. Wilkinson Prize for Numerical Software. He is also one of the authors of Circuitscape, an open-source program that borrows algorithms from electronic circuit theory for ecological conservation. He received his PhD in the field of high performance computing at University of California, Santa Barbara.

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

Speakers

Dr. Viral B. Shah is one of the creators of the Julia programming language and co-founder and CEO of JuliaHub. In 2019, Dr. Shah received the prestigious James H. Wilkinson Prize for Numerical Software. He is also one of the authors of Circuitscape, an open-source program that borrows algorithms from electronic circuit theory for ecological conservation. He received his PhD in the field of high performance computing at University of California, Santa Barbara.

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

Speakers

Dr. Viral B. Shah is one of the creators of the Julia programming language and co-founder and CEO of JuliaHub. In 2019, Dr. Shah received the prestigious James H. Wilkinson Prize for Numerical Software. He is also one of the authors of Circuitscape, an open-source program that borrows algorithms from electronic circuit theory for ecological conservation. He received his PhD in the field of high performance computing at University of California, Santa Barbara.

Dr. Chris Rackauckas is the VP of Modeling and Simulation at JuliaHub, the Director of Scientific Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumas project and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertainty quantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assisted construction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.

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Dyad 3.0 Launch