Webinar
Modeling and Simulation with JuliaSim - Dr. Chris Rackauckas
Webinar
Modeling and Simulation with JuliaSim - Dr. Chris Rackauckas
Join us for this deep dive into the capabilities of JuliaSim, the full-stack modeling and simulation product that helps accelerate the design, development and deployment of physical products. In this webinar, Dr. Chris Rackauckas, JuliaSim’s head developer, will outline the vision behind the product. JuliaSim consists of:
ModelingToolkit.jl - An acausal modeling language to build models
Automatic optimization of dynamic models with the JuliaSim ModelOptimizer
Building Controls capabilities with JuliaSim Controls
Accelerating long running simulations with the JuliaSim FMU Accelerator and deployment with FMUs
New solver improvements
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.
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.
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.
