PyCon X

Florence

2nd - 5th May 2019

Giuseppe Di Bernardo

Giuseppe Di Bernardo
Twitter
@jose_dibernardo
Technical interests
scikit-learn, analytics, bayes, Machine Learning, GPUComputing, cython, statistics, Python, C/C++, python3, physics, JIT, data-visualization, bigdata, OpenStack, GNU/Linux, scientific-computing, object-oriented-programming, OSX
Location
PostDoc Researcher at the Max Planck Computing and Data Facility (MPCDF)
Compact biography

He holds a doctorate in Astrophysics from the University of Gothenburg (Sweden, 2014). His main research area was computational astrophysics with particular focus on the simulations of diffusive particle transport in our galaxy. After working as a postdoctoral researcher at the Max Planck Institute for Astrophysics on high energy particle astrophysics simulations, he joined the data service support group at the Max Planck Computing and Data Facility. As employee at the MPCDF, he focuses on software development and scientific visualisation, being involved in several data-oriented projects within the Max Planck Society and international collaboration projects too. He uses Python as the mainstream language for his scientific research activity at the MPCDF: in particular, for his GPU-programming code, he makes an intensive use of (especially) PyCUDA and Numpy-based packages to crunch, analyse and visualize data.