Hi! I am Amirpasha

Geoscience ML / AI HPC  Open data & FAIRness  Workflow design

Amirpasha Mozaffari

I am working as Data and Workflow Manager in Jülich Supercomputing Centre (JSC) at Jülich research centre (FZJ) 

Data manager in Jülich Supercomputing Centre (JSC),
Research Center Jülich, Germany


May 2022 - Present , Germany

  • Design and deployment of data pipeline and workflow for Machine Learning (ML) application in Earth System Sciences (ESS) on HPC
  • FAIR and reproducible ML application in ESS 

Data and Workflow Manager

Jun 2019 - May 2022 , Germany

  • Data pipeline and workflow management in HPC
  • Workflow for ML in ESS
  • FAIR and reproducible Science 

Research Assistant

Feb 2015 - Jun 2019 , Germany

  • Numerical and statistical analysis of complex environmental data (Synthetic and Experimental data)
  • Development and optimization of high-performance numerical modeling algorithms
  • Developing analytical solutions for shortcomings in practical environmental problems

Student assistant

Jun 2014 - Jan 2015 , Germany

  • Effect of borehole design on electrical impedance tomography measurements



Deep Rain is a project that aims to advance the possibility of using deep learning to improve small-scale rain forecast. I am responsible for staging more than 450 TB data weather data for further processing with the HPC system.


IntelliAQ is a European project (ERC grant) that aims to use deep learning to provide services for air quality forecasting. I am responsible for data preparation and staging.


MAELSTROM is a large-scale R&D project, aiming to fundamentally improve weather and climate prediction. It will join the powers of HPC and ML to cope with the extreme complexity inherent in weather and climate forecasts.