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Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary Science, U. C. Berkeley, (2013 - 2016).

License: BSD 3-Clause "New" or "Revised" License

Python 100.00%
hydrology-statistical python3 stochastic-modeling underground-water

hydromodel's Introduction

Hi there, I am Michalis ๐Ÿ‘‹ ๐Ÿ‡ฌ๐Ÿ‡ท

๐Ÿš€ About Me

I am an information engineer by training with a PhD in computer science and a diverse computational background, with over ten years of post doctoral scientific research experience in various domains, such as: machine learning, data assimilation, stochastic processes, climate modeling, single molecule microscopy image analysis and computational molecular biology.

  • ๐Ÿ”ญ I am currently a scientific researcher at ICAR-CNR, working on artificial intelligence and machine learning problems.
  • ๐Ÿ“ You can find my research articles on my website.
  • ๐ŸŒŸ The PyGeneticAlgorithms code is now available!

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