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working_groups:ac_people [2026/10/16 14:12]
osnissar 		working_groups:ac_people [2026/10/16 14:14] (current)
osnissar
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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, Forecasting and Applications group within Atmospheric Composition group at the Barcelona Supercomputing Center (BSC). Her current work focuses on CAMS reports and improvements in dust forecasts.  **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, Forecasting and Applications group within Atmospheric Composition group at the Barcelona Supercomputing Center (BSC). Her current work focuses on CAMS reports and improvements in dust forecasts. 
 +
 +==== Olga Snissarenko ====
 +**PhD First Stage Researcher** 
 +
 +**Interests:** AI, atmospheric chemistry.
 +
 +**Bio**: Olga Snissarenko earned both her BSc degree (2024) and MSc degree (2026) in Applied Mathematics and Computer Science from the Kazakhstan branch of Moscow State University. During her master's, she specialized in Computing Technologies and Artificial Intelligence methods. 
 +
 +Currently, she is pursuing her PhD on the topic "Emulating atmospheric chemistry with deep learning" at the BSC and UPC. Her supervisors are Hervé Petetin,  Camille Mouchel-Vallon and María Gonçalves Ageitos.
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 **Bio**: Jan’s research focuses on urban air quality modelling with emphasis in uncertainty quantification and data assimilation. He has expertise in the numerical computation of turbulent flows and thermal radiation transport.  **Bio**: Jan’s research focuses on urban air quality modelling with emphasis in uncertainty quantification and data assimilation. He has expertise in the numerical computation of turbulent flows and thermal radiation transport. 
 Jan holds a Bachelor degree in Industrial Engineering from the Universitat Politècnica de Catalunya (Spain, 2013). He obtained a MSc. degree in numerical heat transfer and fluid flow by the Universidade Estadual de Campinas (Brazil, 2015). After receiving his joint-PhD degree in mechanical engineering from both the Universidade Estadual de Campinas and the École Centrale Paris (France, 2019), he collaborated with L’École Polytechnique (France, 2020) as a postdoctoral researcher working on Bayesian inference and uncertainty quantification on reduced chemical schemes. Jan joined the Atmospheric composition group, as well as the Earth System Services group to apply uncertainty quantification and data assimilation methodologies to urban air quality simulations. Jan holds a Bachelor degree in Industrial Engineering from the Universitat Politècnica de Catalunya (Spain, 2013). He obtained a MSc. degree in numerical heat transfer and fluid flow by the Universidade Estadual de Campinas (Brazil, 2015). After receiving his joint-PhD degree in mechanical engineering from both the Universidade Estadual de Campinas and the École Centrale Paris (France, 2019), he collaborated with L’École Polytechnique (France, 2020) as a postdoctoral researcher working on Bayesian inference and uncertainty quantification on reduced chemical schemes. Jan joined the Atmospheric composition group, as well as the Earth System Services group to apply uncertainty quantification and data assimilation methodologies to urban air quality simulations.
- 
-==== Olga Snissarenko ==== 
-**PhD First Stage Researcher**  
- 
-**Interests:** AI, atmospheric chemistry. 
- 
-**Bio**: Olga Snissarenko earned both her BSc degree (2024) and MSc degree (2026) in Applied Mathematics and Computer Science from the Kazakhstan branch of Moscow State University. During her master's, she specialized in Computing Technologies and Artificial Intelligence methods.  
- 
-Currently, she is pursuing her PhD on the topic "Emulating atmospheric chemistry with deep learning" at the BSC and UPC. Her supervisors are Hervé Petetin,  Camille Mouchel-Vallon and María Gonçalves Ageitos. 
  
  
working_groups/ac_people.txt · Last modified: 2026/10/16 14:14 by osnissar

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