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Data manager in Jülich Supercomputing Centre (JSC) & Doctoral student in IBG-3,
Research Center Jülich
Interests
- Data Science
- Geosciences
- Exascale machines / HPC
- Open science
- Data Management
- Environmental sciences
Professional
Experience
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
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
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.
PyStager
PyStager is a general-purpose parallel staging tool that can provide an easy to use the platform to execute non-parallel scripts as a function. It is written in python (mpi4pi) and can be deployed for data pre/post-processing.
Talks & Posters
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