Karl Lapo
Senior Postdoctoral Fellow at Universität Innsbruck
Innsbruck, Tyrol, Austria
Summary
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Top SchoolKarl Lapo is a Senior Postdoctoral Fellow and ESPRIT researcher at the University of Innsbruck with 11 years of experience turning high-dimensional scientific data into actionable models and laptop-scale tools. Trained as a PhD in Atmospheric Sciences from the University of Washington, he blends rigorous research methods with practical machine learning pipelines to accelerate design iterations and reduce testing time, most recently in nanofabrication. His work on the UNICORN ERC project emphasizes scalable, data-driven modeling that fits resource-constrained environments without sacrificing performance. Colleagues rely on him for extracting key performance metrics from massive datasets and shipping reproducible solutions that bridge academia and industry.
11 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD Atmospheric Sciences and Meteorology, Doctor of Philosophy - PhD Atmospheric Sciences and Meteorology at University of Washington
Stackoverflow
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Github Skills (47)
data-stream10
data-driven10
qt10
python10
gtk10
dmd10
data-processing10
scientific-machine-learning10
matplotlib9
pandas9
wavelet9
dask9
netcdf9
data-visualization9
fiber9
Programming languages (4)
Github contributions (5)
klapo/PyDMD
Jan 2023 - May 2025
Python Dynamic Mode Decomposition
Contributions:14 PRs, 105 pushes, 20 branches in 2 years 3 months
python
klapo/moq
Mar 2015 - Mar 2016
Contributions:33 commits, 3 PRs, 20 pushes in 1 year
mountainquality-controlqualityobservation
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