Sciml Open Source Software Organization

June 13, 2026
Media Summary: Bio: Chris is an Applied Mathematics Instructor at MIT and the lead developer of the ... Scientific Machine Learning (SciML) Helicopter Challenge Problem, hosted by the Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ...

Sciml Open Source Software Organization - Detailed Analysis & Overview

Bio: Chris is an Applied Mathematics Instructor at MIT and the lead developer of the ... Scientific Machine Learning (SciML) Helicopter Challenge Problem, hosted by the Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ... In this webinar, Dr. Chris Rackauckas, Lead Developer of the ... Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the

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SciML Open Source Software Organization One Minute Pitch
SciMLCon 2022: Scientific Machine Learning Open Source Software
The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021
Scientific Machine Learning (SciML) Helicopter Challenge Problem
Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25
SciML: Scientific Computing + Machine Learning = Industrial Modeling for Engineers
State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022
SciML For Climate: Integrating ClimaCore.jl With OrdinaryDiffEq | Dennis Yatunin | SciMLCon 2022
Internals of ModelingToolkit | Yingbo Ma | SciMLCon 2022
Automatic Differentiation and SciML: What Can Go Wrong | Chris Rackauckas | JuliaHEP 2023
Understanding Heterogeneous Health Outcomes with SciML and Pumas | Niklas Korsbo | SciMLCon 2022
Differentiable Simulation and Scientific Machine Learning: Fast Solving,Automated Model Construction

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SciML Open Source Software Organization One Minute Pitch

SciML Open Source Software Organization One Minute Pitch

SciML

SciMLCon 2022: Scientific Machine Learning Open Source Software

SciMLCon 2022: Scientific Machine Learning Open Source Software

For more information on the

The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021

The Use and Practice of Scientific Machine Learning (Chris Rackauckas) - nextgen_ai Freiburg 2021

Bio: Chris is an Applied Mathematics Instructor at MIT and the lead developer of the

Scientific Machine Learning (SciML) Helicopter Challenge Problem

Scientific Machine Learning (SciML) Helicopter Challenge Problem

... Scientific Machine Learning (SciML) Helicopter Challenge Problem, hosted by the

Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25

Keynote: The Software Engineering of Julia's Scientific Machine Learning (SciML) | ChapelCon '25

Presentation by Chris Rackauckas at ChapelCon '25. Slides for this talk are available at: ...

SciML: Scientific Computing + Machine Learning = Industrial Modeling for Engineers

SciML: Scientific Computing + Machine Learning = Industrial Modeling for Engineers

In this webinar, Dr. Chris Rackauckas, Lead Developer of the

State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022

State of SciML, Scientific Machine Learning | Chris Rackauckas | SciMLCon 2022

For more information on the

SciML For Climate: Integrating ClimaCore.jl With OrdinaryDiffEq | Dennis Yatunin | SciMLCon 2022

SciML For Climate: Integrating ClimaCore.jl With OrdinaryDiffEq | Dennis Yatunin | SciMLCon 2022

For more information on the

Internals of ModelingToolkit | Yingbo Ma | SciMLCon 2022

Internals of ModelingToolkit | Yingbo Ma | SciMLCon 2022

For more information on the

Automatic Differentiation and SciML: What Can Go Wrong | Chris Rackauckas | JuliaHEP 2023

Automatic Differentiation and SciML: What Can Go Wrong | Chris Rackauckas | JuliaHEP 2023

... Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the

Understanding Heterogeneous Health Outcomes with SciML and Pumas | Niklas Korsbo | SciMLCon 2022

Understanding Heterogeneous Health Outcomes with SciML and Pumas | Niklas Korsbo | SciMLCon 2022

For more information on the

Differentiable Simulation and Scientific Machine Learning: Fast Solving,Automated Model Construction

Differentiable Simulation and Scientific Machine Learning: Fast Solving,Automated Model Construction

... Research at Pumas-AI, Co-PI of the Julia Lab at MIT, and the lead developer of the

Role of Universal Differential Equations in Epidemiology | Raj Dandekar | SciMLCon 2022

Role of Universal Differential Equations in Epidemiology | Raj Dandekar | SciMLCon 2022

For more information on the