University research labs have a different structure than corporate research labs and their compute setups. In this post, I list useful Python resources for starting in a university machine learning lab.
Updates to Pelican and this blog. This is a summary of theme changes, a list of my favorite plugins, and a summary of plugins that I updated to improve this website. It also contains a short discussion of the pelican-plugins repository and its potential consequences for the lacking popularity of individual plugins.
Benchmarks for the latest parallel features in pysparkling. It shows good scaling for processing with multiple CPU cores. The example contains only a simple computation which shows that hyperthreading is not very effective in this case.
A poster about the collaborative statistical modeling work that Kyle Cranmer and I did and that was used to discover the Higgs boson. We presented this at the opening of the Center for Data Science at NYU.
Finished my PhD thesis: Higgs Boson Discovery and First Property Measurements using the ATLAS Detector. It summarizes my work over a few years on Higgs Physics with ATLAS and on collaborative statistical modeling.