Product Update
Dyad 3.0 Launch
Product Update
Dyad 3.0 Launch
Dyad 3.0 is the next evolution in model-based engineering, bringing Scientific AI and agentic workflows into how complex systems are designed, simulated, and optimised. This launch event offers a first look at the new capabilities, live demonstrations, and perspectives from organisations already building with Dyad.
It highlights how Dyad 3.0 helps teams move faster from specification to simulation, integrate AI more effectively into engineering processes, and make decisions with greater speed and confidence.
Speakers
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.
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. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.
Speakers
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.
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. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.
Speakers
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.
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. Michael Tiller is a well-known modeling and simulation luminary, one of the contributors to the Modelica modeling language, creator of Modelica University, and author of two books including Modelica by Example. With more than 25 years of expertise at industry-leading organizations like Ford Motor Company and Ricardo, Michael has an unending fascination with new and interesting ways to harness computers and software to improve the way complex engineering problems are overcome.
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