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SciML Organization Stats:

Chris is theVP of Modeling and Simulation at Julia Computing, theDirector of Scientific Research at Pumas-AI,Co-PI of the Julia Lab at MIT, andthelead developer of the SciML Open Source Software Organization. He is the lead developer of the Pumasproject and has received a top presentation award at every ACoP in the last 3 years for improving methods for uncertaintyquantification, automated GPU acceleration of nonlinear mixed effects modeling (NLME), and machine learning assistedconstruction of NLME models with DeepNLME. For these achievements, Chris received the Emerging Scientist award from ISoP.For his work in mechanistic machine learning, his work is credited for the 15,000x acceleration of NASA Launch Servicessimulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the USAir Force Artificial Intelligence Accelerator Scientific Excellence Award.

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1. SciML/DifferentialEquations.jlSciML/DifferentialEquations.jlPublic

   Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

   Julia 2.9k 235

2. SciML/SciMLBookSciML/SciMLBookPublic

   Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)

   HTML 1.9k 346

3. SciML/ModelingToolkit.jlSciML/ModelingToolkit.jlPublic

   An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning a…

   Julia 1.5k 212

4. JuliaSymbolics/Symbolics.jlJuliaSymbolics/Symbolics.jlPublic

   Symbolic programming for the next generation of numerical software

   Julia 1.4k 164

5. SciML/NeuralPDE.jlSciML/NeuralPDE.jlPublic

   Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation

   Julia 1.1k 212

6. SciML/DiffEqFlux.jlSciML/DiffEqFlux.jlPublic

   Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods

   Julia 887 155