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Hi! I am Amirpasha
Geoscience ML / AI HPC Open data & FAIRness Workflow design
Data manager in Jülich Supercomputing Centre (JSC),
Research Center Jülich, Germany
Interests
- Data Science
- Geosciences
- Exascale machines / HPC
- Open science
- Data Management
- Environmental sciences
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.