Mandar is a PhD student in the Multiscale Dynamics group. His research domain is applied Mathematics in the areas of Machine Learning, Large Scale Inference, Physical Systems and Computer Science. He is currently pursuing his PhD in the topic "Machine Learning for Space Weather predictions".
Carl is a postdoctoral researcher in the Multiscale Dynamics group.
His research is on the topic of Space Weather Forecasting using Machine Learning.
In particular, he makes use of heterogeneous data from the Solar and Heliospheric Observatory (SOHO) and Solar Dynamics Observatory (SDO) spacecrafts
and looks forward to using data from the Parker Solar Probe and Solar Orbiter missions.
He is also interested in Exoplanet Space Weather and its impact on Habitability.
He has experience in the fields of Astrophysics, Bioinformatics, and Theoretical Physics.
Rakesh is a post-doctoral researcher at the Multiscale Dynamics group at CWI Amsterdam. His research interests are in Uncertainty Quantification, Bayesian Parameter Estimation and Machine Learning applied to Space Weather and Computational Fluid Dynamics problems. He also has experience in numerical modelling with reduced order models for wind turbines.
Andong is a post-doctoral researcher at the Multiscale Dynamics group at CWI Amsterdam, funded by the AIDA project. His research interests are in Remote Sensing, Geodesy and Surveying, and ionospheric modelling using GNSS.
Former students and postdocs
Summer 2019: Undergraduate SOARS
student on Modeling electron auroral precicpiation with machine learning
. Currently: PhD student at CU/Boulder
Sep 2018 – Feb 2019: postdoc on H2020 AIDA project.Currently: Postdoc at UNH
Jan 2019 – Jun 201: postdoc on Real-time forecasting of radiation belt electrons
Currently: Research Physicist
at Princeton Plasma Physics Lab (PPPL)
PhD project on numerical solution of the Poisson equation on adaptive mesh
Currently: Competence Lead AI at Solid Professionals
PhD project on sampling techniques for uncertainty quantification
Currently: Research Geophysicist
PhD internship at CWI on Machine Learning to forecast geomagnetic indices
Currently: Data Scientist
at Airbus (Toulouse, France)
ERCIM fellow, 2017: postdoc on Uncertainty Quantification project
Currently: Research Fellow
at University of Brescia, Italy
Long-term postdoc visit on neutral Vlasov model
Currently: Postdoc at Texas A&M University
Supervision of BSc thesis Using Convolutional Neural Networks for Solar Wind Classification
, University of Amsterdam
Currently: Graduate Teaching Assistant
at University of Amsterdam
Supervision of BSc thesis Deep Learning classification of solar images using MXNet
, University of Amsterdam
Supervisor of the PhD thesis Pathways for solar wind plasma and energy transfer to the Earth’s magnetosphere
, Eindhoven University of Technology.
at Applied Physics Laboratory, Johns Hopkins University.
Supervisor of MSc thesis Calibration of a Computer Simulation of the Earth's Radiation Belts (Ecole Normale Supérieure Cachan, France, Sep 2016).
Cllaborator of PhD project Simulations of Electron Kinetics in Solar Wind Turbulence
, Queen Mary University of London
Currently: Data Analyst
for Simspace Solutions
Co-supervisor of MSc thesis Plasma-material interaction for magnetic fusion and space applications
, Los Alamos National Lab
Currently: Project Engineer
at Thalis Alenia Space