Amirpasha mozaffari

Hi! I am Amirpasha

Geoscience ML / AI HPC  Open data & FAIRness  Workflow design

Amirpasha Mozaffari

I am working as Data Manager in Jülich Supercomputing Centre (JSC) at Jülich research centre (FZJ) and PhD candidate in University of RWTH Aachen in the field of hydrogeophysics.

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My Resume

Data manager in Jülich Supercomputing Centre (JSC) & Doctoral student in IBG-3,
Research Center Jülich

Education

Interests

  • Data Science
  • Geosciences
  • Exascale machines / HPC
  • Open science
  • Data Management
  • Environmental sciences

Professional
Experience

FZ_juelich

Data Manager

Jülich Supercomputing Center (JSC)

Jun 2019 - Present , Germany

  • Data pipeline and workflow management in HPC
  • Machine learning application in Geosciences
  • FAIR and reproducible digital object in Earth System Sciences

Research Assistant

IBG-3: Agrosphäre

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

IBG-3: Agrosphäre

Jun 2014 - Jan 2015 , Germany

  • Effect of borehole design on electrical impedance tomography measurements

Talks & Posters

RDA plenary 15 - 2020
Virtual poster session:
FAIRness in Air Quality and Weather forecast
Poster session
NIC symposium 2020
On the use of containers for machine learning and visualization workflows on JUWELS
Poster - Here
PyStager in ESM forum 2020
Presentation about PyStager application for pre/post processing and staging on HPC
Presentation - Here
RDA Germany 2020
FAIRness in Air Quality and Weather forecast
Poster - Here
CWFR workshop June 2021
CWFR Working Meeting on Jupyter Usage / Use case in Weather forecast by DeepRain project
Poster - Here
Previous
Next

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.