Wiktor Phillips
Postdoctoral Research Associate
Somerville, Massachusetts, United States
Summary
👤
Senior🎓
Top SchoolWiktor Phillips is a postdoctoral research associate with nine years of experience at the interface of systems neuroscience and computational modeling, currently based in Somerville, MA. He investigates how inflammation affects brainstem ventilatory chemoreflexes and builds end-to-end computational models that are scored against experimental data within MIT’s Julia Lab and Probabilistic Computing group. His background spans electrophysiology, neural motor pattern generation, and neural network modeling from a PhD in Applied Science (Systems Neuroscience) at William & Mary through postdocs at Karolinska and Copenhagen. Wiktor pairs wet-lab insight with production-quality tooling: notable open-source contributions include build and release work on JuliaPackaging’s Yggdrasil and backend testing and robustness improvements to SciML’s ModelingToolkit.jl. He brings a rare combination of hands-on experimental neuroscience and reproducible scientific software engineering, often bridging domain experiments with automated, versioned build systems. Colleagues rely on him to translate complex biological phenomena into testable, well-engineered computational artifacts.
9 years of coding experience
11 years of employment as a software developer
Ph.D, Applied Science: Systems Neuroscience, Ph.D, Applied Science: Systems Neuroscience at The College of William and Mary
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (13)
dependency-management10
pbuilder10
package-management10
julia10
testing9
automation9
automations9
computer-algebra8
computer-algebra-system8
ode8
scientific-machine-learning7
docker4
dockers4
Programming languages (12)
Github contributions (5)
JuliaPackaging/Yggdrasil
May 2020 - Apr 2021
Collection of builder repositories for BinaryBuilder.jl
Role in this project:
Automation Engineer / Build & Release Engineer
Automation Engineer / Build & Release EngineerContributions:5 commits, 7 PRs, 16 comments in 10 months
Contributions summary:Wiktor primarily focused on building and maintaining the `C/CImPlot/build_tarballs.jl` file within the `yggdrasil` repository, which is used for building packages using BinaryBuilder.jl. They consistently updated the build scripts to accommodate different versions of `implot` and its dependencies, and they made iterative changes to the build process, integrating with external dependencies like `CImGui_jll` and updating version specifications. The commits suggest expertise in managing build configurations and dependencies within a Julia-based package building environment.
repositoriesbinarybuildermonorepobuilderjulia
SciML/ModelingToolkit.jl
Aug 2021 - Aug 2022
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 and automated transformations of differential equations
Role in this project:Back-end Developer & Test Automation Engineer
Back-end Developer & Test Automation EngineerContributions:1 review, 7 commits, 8 PRs in 1 year
Contributions summary:Wiktor focused on improving the ModelingToolkit.jl framework by fixing bugs and improving the testing infrastructure. They addressed issues related to bounds checking, added missing keywords, and corrected unit validation errors. Furthermore, the user implemented hashing for discrete callback conditions, and also modified code related to returning variable names instead of equations. These contributions highlight a focus on improving code quality and ensuring proper system behavior through testing.
sdescientific-machine-learningtransformationspartial-differential-equationsdifferential
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