I am a particle physicits and computer/data scientist who solves problems using numerical tools and machine learning with languages such as Python, Rust, C++, C, Fortran, Bash, R, and Julia. I have hands-on experience with machine learning frameworks such as Tensorflow, Keras, and Pytorch. Have a look at some of my projects.
- Radonirinaunimi/neopdf: A fast Rust library for interpolating collinear and TMD parton distribution functions
- NNPDF/nnpdf: A Python Machine Learning framework for global analyses of parton distribution functions
- NNPDF/nnusf/: A Python Machine Learning framework for extracting all-energy neutrino structure functions
- N3PDF/ganpdfs: A Python library to bootstrap parton distribution functions using Generative Adversarial Networks
- NNPDF/pineappl: A Rust library to produce fast-interpolation grids for physical cross-sections
- N3PDF/pycompressor: A fast compression algorithm for parton distribution functions
- N3PDF/HpT-MON: A C++ package to compute differential Higgs-pt cross-sections from gluon fusion up to NNLO