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SciML Organization Stats: SciML Stars

Chris is the VP of Modeling and Simulation at Julia Computing, 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. For his work in mechanistic machine learning, his work is credited for the 15,000x acceleration of NASA Launch Services simulations and recently demonstrated a 60x-570x acceleration over Modelica tools in HVAC simulation, earning Chris the US Air Force Artificial Intelligence Accelerator Scientific Excellence Award.

Christopher Rackauckas's Projects

triangularsolve.jl icon triangularsolve.jl

rdiv!(::AbstractMatrix, ::UpperTriangular) and ldiv!(::LowerTriangular, ::AbstractMatrix)

tricks.jl icon tricks.jl

Cunning tricks though the julia compiler internals

universal_differential_equations icon universal_differential_equations

Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML

vectorizationbase.jl icon vectorizationbase.jl

Base library providing vectorization-tools (ie, SIMD) that other libraries are built off of.

vehiclemodels.jl icon vehiclemodels.jl

This is a repo that includes several vehicle models including a 3DoF vehicle model.

vsl.jl icon vsl.jl

Julia bindings to the Intel Vector Statistics Library.

weave.jl icon weave.jl

Scientific reports/literate programming for Julia

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