Andrea Zonca, Ph.D.


  • Lead -  Scientific Computing Applications, SDSC


Andrea Zonca has a background in Cosmology, during his PhD and PostDoc he worked on analyzing Cosmic Microwave Background data from the Planck Satellite. In order to manage and analyze large datasets, he developed expertise in Supercomputing, in particular parallel computing in Python and C++. Andrea keeps working in Cosmology and maintains widely used community software packages like healpy and PySM, he also built an expertise in deploying services in a Cloud environment, like Jetstream, on top of Kubernetes, in particular JupyterHub. At the San Diego Supercomputer Center he leads the Scientific Computing Applications group which helps research groups in any field of science to port, benchmark and optimize their data analysis pipelines to national supercomputers.


  • Data-intensive computing
  • Kubernetes cluster administration
  • Distributed computing with Python
  • Cosmic microwave background