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20 followers · 8 following

Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair Extraordinairex4Achievement: QuickdrawAchievement: YOLOAchievement: Pull Sharkx3Achievement: Arctic Code Vault Contributor

Organizations

@NLeSC @eWaterCycle @ESMValGroup @phenology @TUDelftGeodesy @esciencecenter-digital-skills @eucp-project @VegeWaterDynamics @Iceshelves @dianna-ai @RS-DAT @i-VRESSE @EcoExtreML @SDCCA @AI4S2S @MotionbyLearning @CityRiverSpaces @30DayMapChallengeNLeSc24 @hybridlabs-nl

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SarahAlidoost/README.md

About me

I am a software engineer in environmental and sustainability domains, as well as a researcher in Geomatics and Remote Sensing. I am experienced in statistical modeling, data processing, and software engineering, with expertise in machine learning, optimization, and simulation techniques, and with an interest in interdisciplinary collaborations.

An overview of the projects and software I have contributed to is available here.

Lead engineer:

Project Scientific domain Technical domain (my contributions) Programming language
hybridlabs- Work Package 2 Energy and natural resources Machine learning, software development Python
ecoextreml Land surface models Optimization, digital twins, data processing, machine learning Python, MATLAB
digital-twins-for-early-warning-systems Environmental and sustainability Digital twins -

Software engineering:

Project Scientific domain Technical domain (my contributions) Programming language
is-enes3 (engineering on esmvaltool and esmvalcore, contributing to user engagement team) Climate models Optimization, data processing, simulation Python
ewatercycle-II Water resource Optimization, data processing, simulation Python
mixed-effects-explainable-boosting-machines-for-spatiotemporal-phenological-modelling Environmental modelling Optimization, data processing, machine learning Python, R
rs-dat Earth Observation Science Optimization, data processing, HPC Python
crisp Urban planning Data processing R
dianna Explainable AI AI Python
dianna and mexca Explainable AI AI Python
computing-societal-dynamics-of-climate-change-adaptation-in-cities Climate models Network analysis, optimization, simulation, machine learning Python
mobyle Earth Observation Science Optimization, data processing, HPC Python
ivresse Biology Visualization Python, React
a-new-perspective-on-global-vegetation-water-dynamics-from-radar-satellite-data Earth Observation Science Optimization, data processing, HPC Python
european-climate-prediction-system Climate models Storyboards Nuxt
ai4s2s Climate models Optimization, data processing Python

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    Functions in R to implement multivariate copula quantile mapping (MCQM).

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