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negin513 (Negin Sobhani) · GitHub

Scientific Software Developer👩🏻‍💻 and Geospatial Data Scientist 🌎. HPC, Cloud, Geospatial ML Workflows. Background in weather and air quality modeling

• National Center for Atmospheric Research (NCAR)

• Boulder, CO
• 09:34 (UTC -06:00)

I am an atmospheric scientist and a software engineer who is passionate about adopting emerging computational technologies for improving the performance of weather and climate forecasting models.

I am particularly interested in improving weather and climate forecasts using artificial intelligence and deep learning algorithms.

I am currently working at the Computational and Information Systems Lab at the National Center for Atmospheric Research. I have a Ph.D. in Chemical Engineering from the University of Iowa and my thesis was focused on optimization of weather and air quality models for different applications.

• 🏔 I live in Boulder, Colorado
• 📫 How to reach me: @n_sobhani
• 😄 Pronouns: she/her/hers
• 💬 Ask me about weather, air quality, and climate forecasting models

1. NCAR/CISL Dask tutorial (Spring 2023)

   Jupyter Notebook 27 10

2. Repository to include all neon-related visualization scripts.

   Jupyter Notebook 12 8

3. CTSM Tutorial Materials

   Jupyter Notebook 37 29

4. Notebooks from SciPy 2023 Presentation (Xarray on GPUs!)

   Jupyter Notebook 7 2

5. Example workflows for executing multi-node, multi-GPU machine learning training using PyTorch on NCAR's HPC Supercomputer (Derecho).

   Python 6

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