- 🧮 Computational scientist solving ODEs and PDEs in Julia, mostly on GPUs
- 🎯 Turning math into fast code (brrrr)
- 🌍 PhD @ MIT CCSE · Julia Lab
- 🎓 previously M.Sc. Physics & M.Sc. Computational Sciences @ JGU Mainz
- 🌐 My website: cwittens.github.io
- 📧 Contact: cwittens@mit.edu
- 💬 Ask me anything Julia
just a student
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Johannes Gutenberg University Mainz
- Cambridge MA
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01:00
(UTC -04:00) - cwittens.github.io
- https://orcid.org/0009-0006-8591-278X
Highlights
- Pro
Pinned Loading
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GeothermalWells.jl
GeothermalWells.jl PublicGPU-accelerated Julia package for simulating deep borehole heat exchangers (single wells and arrays). Easy to use for rapid prototyping and design exploration.
Julia 10
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NumericalMathematics/DispersiveShallowWater.jl
NumericalMathematics/DispersiveShallowWater.jl PublicA Julia library of structure-preserving numerical methods for dispersive wave equations
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SciML/OrdinaryDiffEq.jl
SciML/OrdinaryDiffEq.jl PublicHigh performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
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