Nicolas Hug

Hi, I’m Nicolas!

I’m a postdoctoral researcher at the Data Science Institute at Columbia University in New York. My work is mainly focused on contributing to the scikit-learn library.

I am currently having fun on pygbm, a fast pure-Python Gradient Boosting Decision Trees implementation, with Numba’s JIT compilation.

During my PhD (link) I developed (and now maintain) Surprise, a Python library to build and analyze recommender systems.

During my free time, you may find me rock climbing or hiking, lost somewhere in the Pyrénées (French mountains)… I always enjoy any kind of outdoor activity, which is quite fortunate given one of my other passions: food!

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