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  • University of Colorado Boulder
  • United States
  • 13:13 (UTC -07:00)

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nargesahmadi/README.md

Hello,

I'm Daisy, a computational research scientist pursuing machine learning applications in technology for scientific insight.

  • Developed a multi input model combining deep leaning and random forest methods to automatically identify magnetospheric regions.
  • Working on large scale HPC simulations to understand the space environment around Earth and help predicting space weather.
  • Working on a large language model development using supervised fine-tuning to upskill my machine learning knowledge.
  • Looking for collaboration on machine learning applications in technology.

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  1. Dispersion Dispersion Public

    This package solves the linear Vlasov-Maxwell equations for bi-Maxwellian distributions.

    C 1 1

  2. Clustering Clustering Public

    Categorizing electric signals from space observations using unsupervised machine learning models.

    Jupyter Notebook

  3. Magnetospheric-Regions Magnetospheric-Regions Public

    Automatically identifies magnetospheric regions using Deep Neural Network and Random Forest models for Magnetospheric Multiscale (MMS) mission data.

    Jupyter Notebook 1

  4. nargesahmadi nargesahmadi Public

    JavaScript

  5. psc psc Public

    Forked from psc-code/psc

    The PSC particle-in-cell code

    Jupyter Notebook 1

  6. pyspedas pyspedas Public

    Forked from spedas/pyspedas

    SPEDAS routines for python

    Python