Andreas Noack
Vice President Of Product Development at PumasAI
Copenhagen, Capital Region of Denmark
Summary
🤩
Rockstar🎓
Top SchoolAndreas Noack is a seasoned product and engineering leader with 15 years of experience at the intersection of scientific computing and product development, currently serving as Vice President of Product Development at PumasAI in Copenhagen. He pairs a PhD in Econometrics with deep hands-on contributions to the Julia ecosystem—fixing core linear algebra, probability, and statistics libraries and improving high-performance ODE solvers—demonstrating rare expertise in numerical methods and production-grade scientific software. His background includes directing research at JuliaHub and postdoctoral work at MIT CSAIL, bridging rigorous research with pragmatic product delivery. Known for improving CI, portability, and numerical robustness, he brings both strategic product vision and a coder’s attention to algorithmic correctness and performance.
15 years of coding experience
10 years of employment as a software developer
Doctor of Philosophy - PhD Econometrics and Quantitative Economics, Doctor of Philosophy - PhD Econometrics and Quantitative Economics at Københavns Universitet - University of Copenhagen
Stackoverflow
1,380reputation
34kreached
22answers
0questions
julia
top-5%
Github Skills (63)
algorithm10
deco10
matrix-decomposition10
matrix10
optimizers10
scripting10
data-science10
decomposition10
dataframes10
user-manual10
testing10
statistics10
static-array10
plot10
graphic10
Programming languages (13)
Github contributions (5)
JuliaStats/GLM.jl
Apr 2013 - May 2022
Generalized linear models in Julia
Role in this project:
Back-end Developer
Back-end DeveloperContributions:3 releases, 31 reviews, 63 commits in 9 years 3 months
Contributions summary:Andreas contributed to the development of a Julia library for generalized linear models (GLMs). Their work involved updating and refactoring the code base, focusing on performance and code maintainability. This included modifying data structures, refactoring function calls, and updating code to align with changes in underlying linear algebra libraries. The user also addressed specific issues and added features to improve the library's functionality.
regressionstatisticsdataframesgeneralized-linear-modelsdata-science
JuliaStats/StatsBase.jl
Feb 2013 - Oct 2022
Basic statistics for Julia
Role in this project:Back-end Developer
Back-end DeveloperContributions:7 releases, 14 reviews, 74 commits in 9 years 9 months
Contributions summary:Andreas primarily contributed to the `statsbase.jl` repository by implementing new statistical functions and improving existing ones. This included adding the `ecdf` function and incorporating tests from `statquiz`. Furthermore, the user refactored the `autocor` function and fixed bugs in Spearman's rank correlation, along with adding Kendall's rank correlation. Overall, the contributions focused on expanding the statistical capabilities of the library and improving its accuracy and reliability.
summarizationstatisticsstatistical-modelsjulia
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