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

Professional
Experience

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

Projects

DeepRain

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

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

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.