TEAM


Prof Veronika Eyring

Prof. Veronika Eyring


Prof Markus Reichstein

Prof. Markus Reichstein

  • Affiliation: MPI-BGC
  • Director of the Biogeochemical Integration Department at the Max-Planck Institute for Biogeochemistry and Professor for Global Geoecology at the University of Jena – WP1-4
  • USMILE co-PI
  • Personal webpage

Prof. Gustau Camps Valls

Prof. Gustau Camps-Valls

  • Affiliation: UV-ISP
  • Professor in Electrical Engineering and head of the Image and Signal Processing group in the Image Processing Laboratory (IPL) at the University of Valencia – WP1-4
  • USMILE co-PI
  • Personal webpage

Dr. Pierre Gentine

Prof. Pierre Gentine


Kemisola Adeniyi

Kemisola Adeniyi*

  • Affiliation: University of Bremen, DLR
  • PhD Researcher – WP3
  • Causal model evaluation and analysis of droughts.

Dr. José Enrique Adsuara

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP2 & WP3
  • Hybrid modeling to link physics and machine learning models. Causal discovery and inference from data.

Bernhard Ahrens*

  • Affiliation: MPI-BGC
  • Scientist – WP2
  • Hybrid modeling of soil processes ranging from radiocarbon to heterotrophic respiration.
  • Techniques: universal differential equations and physics-informed neural networks.
  • Personal webpage

Lazaro Alonso Silva

  • Affiliation: MPI-BGC
  • Research Scientist
  • Model efficiencies, neural networks, LSTMs, transformers. Hybrid modelling. Visual analytics.
  • Personal webpage


Zavud Baghirov

  • Affiliation: MPI-BGC
  • PhD Researcher
  • Combining deep learning models with physical models using different Earth observation data to develop a global model of (coupled) water and carbon cycles. Quantifying the uncertainties in hybrid modelling.
  • Personal webpage


Dr. Ana Bastos*

  • Affiliation: MPI-BGC
  • Group leader – WP3
  • Climate extreme impacts and memory effects.
  • Personal webpage

Gunnar Behrens

Gunnar Behrens

  • Affiliation: DLR & CU
  • PhD Researcher – WP2
  • Machine learning based parametrizations of sub-grid-scale processes in climate models to enhance understanding on convection and its predictability.

Vitus Benson

  • Affiliation: MPI-BGC
  • Partial associate (pre-doctoral) – WP3
  • Spatio-temporal prediction of localized impacts to extreme weather.
  • Personal webpage

Aziz Bhouri

Dr. Aziz Bhouri

  • Affiliation: CU
  • Research Scientist – WP2
  • Investigating Bayesian methods including multi-fidelity approaches for climate modeling such as climate parameterization and climate extreme events predictions.
  • Personal webpage


Pauline Bonnet

Dr. Pauline Bonnet

  • Affiliation: DLR
  • Postdoctoral Researcher – WP2
  • Machine learning based automated parameter tuning of global climate models with satellite data

Diego Bueso

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Development and application of feature extraction and causal inference methods on remote sensing data for spatio-temporal modeling of interaction at multiple time scales of Earth system.

Dr. Nuno Carvalhais*

  • Affiliation: MPI-BGC
  • Group leader of the Model-Data Integration research group of the Department Biogeochemical Integration.
  • Terrestrial ecosystems; model-data integration; hybrid modeling.
  • Personal webpage

Kai-Hendrik Cohrs

  • Affiliation: UV-ISP
  • PhD researcher – WP2
  • Parameter identification and partition of ecosystem carbon fluxes with machine learning models. Deploying Bayesian methods to include prior knowledge and estimate the uncertainty of parameters and models.
  • Personal webpage


Jordi Cortes

  • Affiliation: UV-ISP
  • PhD Researcher – WP1
  • Applications of kernel methods and deep learning models to anomaly and extreme event detection owing to climate change processes.

Kevin Debeire

Kevin Debeire

  • Affiliation: DLR (Oberpfaffenhofen & Jena)
  • PhD Researcher – WP3
  • Causal discovery methods for climate model evaluation and for constraining uncertainty in climate projection.

Emiliano Díaz

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Kernel methods, graphical models and causality, with the focus on Earth science applications.

Dr. Gregory Duveiller

  • Affiliation: MPI-BGC
  • Research Scientist – WP1 and WP2
  • Investigating land-climate interactions based on satellite remote sensing.
  • Personal webpage


Reda ElGhawi

  • Affiliation: MPI-BGC
  • PhD Researcher – WP2
  • Hybrid modeling approaches to land-surface modeling; through the integration of deep learning techniques and process-based models in the framework of Earth system models.
  • Personal webpage


Jianing Fang

Jianing Fang

  • Affiliation: CU
  • PhD Researcher – WP2
  • Developing hybrid-ML carbon models and long-term remote sensing products of solar-induced fluorescence
  • Personal webpage


Dr. Miguel Ángel Fernández

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP3
  • Understanding and designing explainable deep generative models and machine attention mechanisms to be deployed in anomaly and extreme event detection.

Dr. Evgenia Galytska

Dr. Evgenia Galytska*

  • Affiliation: University of Bremen, DLR
  • Research Scientist – WP3
  • Understanding Arctic-midlatitude teleconnections in CMIP6 models using causal networks.


Nora Linscheid

  • Affiliation: MPI-BGC
  • PostDoc
  • Extreme event detection & impacts; machine learning & hybrid modeling for representing multi-scale processes / processes across time scales / frequencies.
  • Personal webpage


Luis Gomez Chova

Prof. Luis Gómez-Chova

  • Affiliation: UV-ISP
  • Full Professor in the Electronic Engineering Department at the University of Valencia
  • Senior Researcher of the Image and Signal Processing Group in the Image Processing Laboratory at the University of Valencia – WP1
  • Machine learning models to improve cloud classification in satellite imagery to better characterize inputs of climate models.
  • Personal webpage

Arthur Grundner

Arthur Grundner

  • Affiliation: DLR & CU
  • PhD Researcher – WP2
  • Improvement of cloud parametrizations in a climate model by utilizing high-resolution data for the training of machine learning parametrizations.

Fernando Iglesias-Suarez

Dr. Fernando Iglesias-Suarez

  • Affiliation: DLR
  • Postdoctoral Researcher – WP2
  • Developing and applying machine learning techniques to advance climate models and analysis, understanding links and interactions with other parts of the Earth system to address the scientific challenges of global change.
  • Personal webpage


J. Emmanuel Johnson

  • Affiliation: UV-ISP
  • PhD Researcher – WP3
  • Estimating uncertainty, spatial-temporal information content and similarity in Earth system data using kernel methods, Gaussian processes and normalizing flows.

Arndt Kaps

Arndt Kaps

  • Affiliation: DLR
  • PhD Researcher – WP1
  • Machine learning based approaches to evaluate clouds in climate models to leverage the information available from satellites and bridge the gap to model data.

Soufiane Karmouche

Soufiane Karmouche*

  • Affiliation: University of Bremen, DLR
  • PhD Researcher – WP3
  • Investigating teleconnections between major modes of climate variability with causal discovery.

Rémi Kazeroni

Dr. Rémi Kazeroni

  • Affiliation: DLR
  • Research Software Engineer – WP1-4
  • Technical development of the ESMValTool and of machine learning techniques in the ESMValTool framework.

Dr. Basil Kraft

  • Affiliation: MPI-BGC
  • Postdoctoral Researcher – WP3 and WP1
  • WP3: Assessing capabilities of DL/XAI to predict and understand ecosystem responses to extreme events
  • WP1: Using novel deep learning approaches for modeling of ecosystem fluxes

Dr. Kara Lamb

  • Affiliation: CU
  • Research Scientist – WP2
  • Investigating hybrid physics machine-learning approaches for modeling aerosol and cloud microphysics from observations and atmospheric simulations; geometric deep learning
  • Personal webpage

Guohua Liu

  • Affiliation: MPI-BGC
  • Postdoctoral Researcher 
  • Hybrid modelling of vegetation phenology.
  • Personal webpage


Dr. Sujan Koirala

  • Affiliation: MPI-BGC
  • Scientist: external Hybrid modeling
  • Physical modeling of the land biogeochemical cycles, with special focus on water-carbon coupling.
  • Personal webpage

Jiangong Liu

Dr. Jiangong Liu

  • Affiliation: CU
  • Research Scientist – WP2
  • Disentangling the effects of different drivers on ecosystem fluxes and learning to learn (aka meta-learning) the processes of tropical forests

Laura Martínez Ferrer

  • Affiliation: UV-ISP
  • PhD Researcher – WP1
  • Remote sensing researcher using deep learning to upscale high resolution carbon fluxes and developing machine learning methods for crop yield estimation from climate and multi-sensor data.

Dr. Álvaro Moreno Martínez

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP1 & WP2
  • Remote Sensing scientist developing  physical and statistical models and operational methodologies for the study of vegetation cover.

Aytaç Paçal

  • Affiliation: DLR
  • PhD Researcher – WP3
  • Detecting and understanding extreme weather events using machine learning.

Talytha Pereira

Talytha Pereira

  • Affiliation: DLR, University of Bremen
  • PhD Researcher – WP4
  • Machine Learning-based constraints of climate feedbacks and projections using causal models.

Dr. Maria Piles

  • Affiliation: UV-ISP
  • Senior Research Scientist – WP1, WP3
  • Microwave remote sensing, estimation of water content in soils and vegetation, multi-sensor synergies for Earth and climate studies.
  • Personal webpage

Christian Reimers

  • Affiliation: MPI-BGC
  • Research Scientist – WP2 and WP3
  • Interpretable deep learning, causal modeling
  • Personal webpage


Lukas Ruhe

Lukas Ruhe*

  • Affiliation: University of Bremen, DLR
  • PhD Researcher – WP3
  • Machine learning based analysis and detection of droughts in climate projections.

Albrecht Schall

  • Affiliation: MPI-BGC
  • PhD Researcher – WP3
  • Deep Learning based climate extremes and impact detection and anticipation.
  • (Uncertainty-aware) generative models.
  • Personal webpage


Chunhui Zhan

  • Affiliation: MPI-BGC
  • PhD Researcher – WP4
  • Effects of increasing CO2 on land-atmosphere exchange of carbon and water.
  • Personal webpage


Manuel Schlund

Dr. Manuel Schlund

  • Affiliation: DLR
  • Postdoctoral Researcher – WP4
  • Constraining uncertainties in climate model projections with machine learning methods.

Mierk Schwabe

Dr. Mierk Schwabe

  • Affiliation: DLR
  • Research Scientist – WP2
  • Parametrizations of atmospheric gravity waves in climate models based on machine learning.

Dr. Eva Sevillano Marco

  • Affiliation: UV-ISP
  • Postdoctoral Research Coordination
  • Coordination & Project Management at ISP. Environmentalist & Remote Sensing Scientist.

Dr. Sara Shamekh

  • Affiliation: CU
  • Postdoctoral Researcher – WP2
  • Investigating hybrid machine learning methods for the parametrization of the planetary boundary layer turbulence.
  • Personal webpage


Olya Skulovich

Olya Skulovich

  • Affiliation: CU
  • PhD Researcher – WP1, WP3
  • Working on long-term consistent soil moisture product based on remote sensing and ML
  • Personal webpage


Breixo Soliño Fernández

Breixo Soliño Fernández

  • Affiliation: DLR
  • Research Software Engineer – WP1-4
  • Research Software Engineering for Artificial Intelligence topics.
  • Personal webpage

Feng Tao

  • Affiliation: MPI-BGC
  • PhD Researcher
  • Understanding dynamics of the global soil carbon cycle and its underlying mechanisms using ecological modeling, data assimilation, and machine learning techniques.
  • Personal webpage


Samuel Upton

  • Affiliation: MPI-BGC
  • PhD Researcher
  • Estimation of ecosystem CO2 fluxes constrained by ecosystem and atmospheric observations.
  • Personal webpage


Dr. Gherardo Varando

  • Affiliation: UV-ISP
  • Postdoctoral Researcher – WP3
  • Causal discovery and inference from spatio-temporal data.

Katja Weigel

Dr. Katja Weigel*

  • Affiliation: University of Bremen, DLR
  • Research Scientist – WP3
  • Analysis and detection of extreme events with the focus on droughts in climate model and reanalysis data using classical indices as well as testing new tool like the Maximal Divergent Interval (MDI) algorithm.

Dr. Alexander Winkler

  • Affiliation: MPI-BGC
  • Postdoctoral Researcher – WP2 and WP4
  • Linking mechanistic models and observational data: Integration of data-driven approaches in Earth system models, specifically hybrid-modeling of land-atmosphere interactions (WP2), and constraining multi-model estimates of key entities in the Earth system using observations (i.e. Emergent Constraints, WP4).
  • Personal webpage

Xin Yu

  • Affiliation: MPI-BGC
  • PhD Researcher – WP3
  • Legacy effects of extreme events on ecosystem carbon-cycle.
  • Personal webpage

Weiwei Zhan

  • Affiliation: CU
  • PhD Researcher – WP2
  • Investigating the terrestrial carbon cycle using machine learning and flux tower data
  • Personal webpage

Dr. Wenli Zhao

  • Affiliation: CU
  • Postdoctoral Researcher – WP2
  • Investigating physics machine-learning approaches for modeling evapotranspiration and canopy interception based on flux tower data
  • Personal webpage

* indicates partial affiliation to USMILE.