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8 followers · 11 following
  • University of Lausanne
  • Lausanne, Switzerland

Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull SharkAchievement: YOLOAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull SharkAchievement: YOLOAchievement: Arctic Code Vault Contributor

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sobakrim/README.md

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Climate Data Science · Geospatial Statistics · Environmental Modeling

Climate data scientist and statistician working on spatio-temporal modeling, climate extremes, weather generators, and machine learning for environmental data.

I develop methods and software at the intersection of:

  • spatio-temporal statistics
  • machine learning
  • climate risk and natural hazards
  • geospatial and Earth observation data

Contact

Email: saidobak@gmail.com

Pinned Loading

  1. opengeos/geoai opengeos/geoai Public

    GeoAI: Artificial Intelligence for Geospatial Data

    Python 2.7k 378

  2. Two-stage-CNN-LSTM Two-stage-CNN-LSTM Public

    Hybrid CNN-LSTM for learning the spatio-temporal relationship between wind and significant wave height

    Jupyter Notebook 18 4

  3. MSTWeatherGen MSTWeatherGen Public

    A multivariate and spatio-temporal stochastic weather generator in R

    R 5 1

  4. mlq4st mlq4st Public

    mlq4st : Machine Learning Quantile regression for Space-Time processes

    Python 1 1