Introduction to Interactive Geospatial Data Analysis at HPC Scales

Dr. Francesco Nattino has a master's degree in chemistry from the University of Milan. His interest in the use of computer simulations to answer research questions brought him to specialize in Theoretical and Computational Chemistry, a field in which he carried out his PhD at Leiden University. After working as a postdoctoral researcher in the Materials Science department at EPFL, Switzerland, Francesco joined the Netherlands eScience Center as a Research Software Engineer in 2020. In such a position, he has combined his experience in HPC/HTC with a newly developed passion for remote-sensing and geospatial data applications. Beside his involvement in research projects, he is also active in teaching: he is a Carpentries instructor and one of the developers of the Carpentries Incubator lesson "Introduction to Geospatial Raster and Vector Data Using Python".

Dr. Meiert Willem Grootes is a Senior Research Software Engineer at the Netherlands eScience Center. After obtaining a PhD in astrophysics from the University of Heidelberg he pursued research on galaxy evolution as an independent postdoctoral fellow at the Max-Planck Institute for Nuclear Physics and ESA, including work on data analysis pipelines for satellite images, machine learning based galaxy classification techniques, radiative transfer models, and statistical analysis. At the eScience center he is involved in projects from the Environment & Sustainability and Natural Sciences & Engineering sections, with a focus on earth observation, data storage and access, and machine learning. He is further interested in HPC/HTC and hardware acceleration, and their application in research

Dr. Pranav Chandramouli is a Research Software Engineer at the Netherlands eScience Center. He has a PhD in the field of applied mathematics from INRIA, France, where he developed the 4DVar suite of models for variational data assimilation in turbulent flows. He has a background in CFD, climate models, and turbulence. At the eScience center, he works in the Environment and Sustainability section on projects related to earth observation, machine learning, and statistical analysis amongst other topics. He is also interested in the fields of quantum computing, artificial intelligence, GPUs and HPC/HTC.

Dr. Lodewijk Nauta is a Technical Advisor at SURF. SURF is the Dutch cooperative organization that provides Dutch educational and research institutions with an integrated ICT research infrastructure, services, and expertise. Before joining SURF Lodewijk finished his PhD in high energy physics in 2022. He did his research in Neutrino Oscillations at the Nikhef institute using the novel KM3NeT detector. In his current position he helps scientists in fields ranging from fundamental physics to genomics to astronomy successfully run their programs on the High Throughput Compute clusters available at SURF.