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working_groups:ac_people [2024/10/14 11:39] ekarnezi [Eleni Karnezi] |
working_groups:ac_people [2026/02/10 15:12] (current) cgildiaz |
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| **Bio**: BSc and MSc in Chemistry from Alma Mater Studiorum University of Bologna (Italy), PhD in Astrochemistry from Scuola Normale Superiore in Pisa (Italy). | **Bio**: BSc and MSc in Chemistry from Alma Mater Studiorum University of Bologna (Italy), PhD in Astrochemistry from Scuola Normale Superiore in Pisa (Italy). | ||
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| + | ==== Francesco Moncada ==== | ||
| + | {{: | ||
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| + | **PhD Student** \\ | ||
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| + | **Interests: | ||
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| + | **Bio:** I am a Ph.D. student in the Environmental Engineering program at the Universitat Politècnica de Catalunya (UPC), researching the effects of dust on regional climate by integrating constrained dust-source mineralogy into climate models. My work is supervised by María Gonçalves (UPC) and Carlos Pérez García-Pando (Barcelona Supercomputing Center – BSC), where I conduct my research. | ||
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| + | I hold a bachelor' | ||
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| The main research interest of Dr. Karnezi is physical and chemical properties of atmospheric aerosols, aerosol transport and air quality and her research lies in the modeling field. In BSC she is working on dust modeling using Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) and right now she is in the DAFA team contributing on forecasting and evaluation of BDRC and ICAP. She has been working on the developments of MONARCH and has been working on the model assessment and evaluation of high resolution MONARCH simulations with ground measurements (as AERONET), and satellite products (MODIS and VIIRS) and the application of dust modeling on dust products for health, aviation and solar energy. She has been involved so far in Copernicus products (CAMS95, CAMS40), international projects (SOLWARIS, K-Dust, AQ-Watch), international funds (ERA Fragment, AXA chair) and contributing to SDS-WAS centre products improving dust forecast models. | The main research interest of Dr. Karnezi is physical and chemical properties of atmospheric aerosols, aerosol transport and air quality and her research lies in the modeling field. In BSC she is working on dust modeling using Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (MONARCH) and right now she is in the DAFA team contributing on forecasting and evaluation of BDRC and ICAP. She has been working on the developments of MONARCH and has been working on the model assessment and evaluation of high resolution MONARCH simulations with ground measurements (as AERONET), and satellite products (MODIS and VIIRS) and the application of dust modeling on dust products for health, aviation and solar energy. She has been involved so far in Copernicus products (CAMS95, CAMS40), international projects (SOLWARIS, K-Dust, AQ-Watch), international funds (ERA Fragment, AXA chair) and contributing to SDS-WAS centre products improving dust forecast models. | ||
| - | In the past she has worked as a post-doctoral researcher in Carnegie Mellon University with Weather Research and Forecasting (WRF) model for (CACES) and during her PHD has contributed with her modeling work in different campaigns (MEGAPOLI, ATMOPACS, FAME-16, SOAS, PF7-PEGASOS). She has co-authored more than 15 publications and participated in more than 20 international conferences and workshops in the atmospheric aerosol area. | + | In the past, she has worked as a post-doctoral researcher in Carnegie Mellon University with Weather Research and Forecasting (WRF) model for (CACES) and during her PHD has contributed with her modeling work in atmospheric aerosol modeling |
| ==== Òscar Collado ==== | ==== Òscar Collado ==== | ||
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| **Bio:**I studied physics in Universitat de València (2020) where I got interested in data science and remote sensing. Later I studied a master in remote sensing (2021) with a thesis on the behaviour of aerosols over Cape Verd, followed by another master in data science (2024) with a thesis on the usage of convolutional neural networks to classify flooded area on satellite images. After working for two years in finance related companies I settled for a PhD program here at the Earth Sciences department of BSC to work on new methods for forecasting aerosol concentration. | **Bio:**I studied physics in Universitat de València (2020) where I got interested in data science and remote sensing. Later I studied a master in remote sensing (2021) with a thesis on the behaviour of aerosols over Cape Verd, followed by another master in data science (2024) with a thesis on the usage of convolutional neural networks to classify flooded area on satellite images. After working for two years in finance related companies I settled for a PhD program here at the Earth Sciences department of BSC to work on new methods for forecasting aerosol concentration. | ||
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| + | ==== Jayoung Yun ==== | ||
| + | {{: | ||
| + | ** Postdoctoral Researcher** \\ | ||
| + | ** Interests: | ||
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| + | **Bio:** I joined the AC group at the BSC in October 2024 as a postdoctoral researcher. I obtained my PhD degree in Atmospheric and Environmental Sciences at the University of Edinburgh. My PhD thesis focused on global dust impact on climate system. I used CESM to perform a sensitivity of dust simulations, | ||
| + | Before my PhD, I worked as a research engineer at a private research company in South Korea, where I participated in various KMA-funded projects related to satellite meteorological data processing and real-time seasonal forecasting systems. | ||
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| + | ==== Tito Vintimilla Cruz ==== | ||
| + | {{: | ||
| + | ** Junior Research Engineer ** \\ | ||
| + | **Interests: | ||
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| + | **Bio:** I obtained my Bachelor' | ||
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| + | ==== Alba Badia Moragas ==== | ||
| + | {{: | ||
| + | **Postdoctoral Researcher** \\ | ||
| + | **Interests: | ||
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| + | **Bio**: Alba obtained her bachelor degree in Mathematics from the Universitat Autonoma de Barcelona (UAB). She holds a PhD in Environmental Engineering from the Barcelona Supercomputing Center (BSC) – Universitat Politècnica de Catalunya (2019-2014) and an MSc in Applied Mathematical Sciences with Climate Change Impacts Modeling from the Heriot-Watt University Edinburgh (2019). Her PhD entitled " | ||
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| + | ==== Jens E. d' | ||
| + | {{: | ||
| + | ** Postdoctoral Researcher ** \\ | ||
| + | **Interests: | ||
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| + | **Bio:** Jens is a postdoctoral researcher at the Barcelona Supercomputing Center (BSC), where he joined in December 2025. He holds a BSc in Industrial Engineering and an MSc in Data Science and Engineering from Eindhoven University of Technology (TU/e). He completed his PhD at TU/e in the Database Group, where his research focused on efficient algorithms for large-scale time series analysis, with an emphasis on similarity search. His work has been published in AI and data management venues such as SIGMOD, VLDB, and ICDE. | ||
| + | At BSC, Jens works together with Dr. Hervé Pétetin on the development of physics-informed deep learning methods for | ||
| + | downscaling atmospheric simulations (e.g., from the MONARCH model). | ||
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| + | ==== Cristina Gil Díaz ==== | ||
| + | {{: | ||
| + | ** Postdoctoral Researcher ** \\ | ||
| + | **Interests: | ||
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| + | **Bio:** Cristina recieved her BSc degree in Physics (2019) from the University of Granada and her MSc degree in Meteorology and Geophysics (2020) from the Complutense University of Madrid. She then worked at Endesa as an operation supervision intern, where she developed Python-based tools to automatically validate processes in energy trading operations. She completed her Ph.D. in 2026 at Universitat Politècnica de Catalunya, focusing on characterization of cirrus clouds and dust aerosols using remote sensing measurements and radiative transfer models to study their radiative effects. In parallel, she obtained her MSc degree in Data Science and Engineering from the National University of Distance Education (UNED) in 2025. In 2026, she joined the Data, Assimilation, | ||
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| =====Previously in the group===== | =====Previously in the group===== | ||