Francesca holds an MSc in Environmental Sciences from Università degli Studi di Milano-Bicocca, awarded in 2022. She is currently a PhD candidate in Environmental and Infrastructure Engineering (38th cycle) at Politecnico di Milano. Her research focuses on the valorization of agricultural by-products to enhance the sustainability of waste-to-resource processes. Specifically, she is investigating bacteria-based biorefineries for the bioconversion of anaerobic digestion by-products into proteins for animal feed applications, with an emphasis on circular economy principles.

In her spare time, Francesca enjoys singing and playing the piano, hiking in the mountains, and perfecting the art of turning food into happiness.

Daniele holds an MSc in Mathematical Engineering from Politecnico di Milano in 2022. He is currently a PhD candidate in Structural, Seismic, and Geotechnical Engineering (38th cycle) at Politecnico di Milano. His research focuses on advanced Fluid-Structure Interaction methods and multiphase techniques within the Finite Element framework. In particular, he is developing novel algorithms to address Finite Element mesh distortion and submerged lightweight structures. 

In his free time, Daniele enjoys reading, swimming, and travelling around the world. 

Ileana holds a Master’s degree in Civil Engineering with a specialization in Earthquake Engineering from Politecnico di Milano (2023), and a Civil Engineering degree from UNAM in Mexico. She is currently a PhD candidate in Structural, Seismic, and Geotechnical Engineering at Politecnico di Milano. Her research focuses on near real-time earthquake impact assessment using high-fidelity 3D physics-based simulations. In particular, she is working on the development of an automated workflow for the Friuli Venezia Giulia region, aiming to support emergency decision-making through urgent computing and realistic ground motion modeling.

Davide graduated in Materials Engineering and Nanotechnology at Politecnico di Milano in 2022 and is currently pursuing a PhD in Structural, Seismic and Geotechnical Engineering (37th cycle). In his PhD, funded by STMicroelectronics, Davide focuses on the design, optimization and characterization of silicon-based microelectromechanical (MEMS) gyroscopes. During his time at the University of California, Irvine, Davide worked on fused silica gyroscopes, exploring how the properties of this material can enhance the performance of MEMS gyroscopes.

Enrico holds a M.Sc in Environmental and Land Planning Engineering, obtained at Politecnico di Milano in 2021. He is currently a PhD candidate (37-th cycle) in Environmental and Infrastructure Engineering, in his PhD he is collaborating with the civil protection of Lombardy Region (CFMR) doing research on the enhancement of regional flood early warning system. His research is mainly focused on the use of machine learning algorithms for flood forecasting, nowcasting and flood warning applications, as well as uncertainty quantification of meteorological predictions.

In his spare time, he enjoys playing chess (with poor results), hiking, climbing and skiing. 

Stefano is a PhD Candidate in Structural, Seismic and Geotechnical Engineering (38° cycle). He holds a Master of Science in Structural Engineering from Politecnico di Milano, obtained in 2022, and is currently enrolled in the third year of the PhD program. His research focuses on developing a multiscale approach to address the nonlinear dynamic behavior of slender offshore structural elements and to describe fatigue damage accumulation under hydrodynamic loading conditions, by means of both numerical and analytical tools.

In his free time Stefano enjoys traveling, hiking, playing tennis and padel.

Angelly is a computer scientist from Universidad del Norte (Colombia) and a Geoinformatics Engineer from Politecnico di Milano (Italy). Her projects consisted of the development of a QGIS plugin for location privacy and the application of deep learning to classify deforestation leveraging open satellite imagery, respectively. She is currently pursuing a PhD in Environmental Engineering focused on Geomatics. Her current research regards the application of artificial intelligence to produce the susceptibility models and maps of climate change related hazards in urban areas. Furthermore, the models can be used to evaluate the impact on the susceptibility introduced by simulated nature based solutions.

During her PhD studies, she has been a consultant for the World Bank, specifically developing geospatial applications currently focused on GeoAI as a service.

In her free time, she enjoys doing exercise, dancing, connecting with nature, and reading a good book, mostly from Colombian authors.

My name is Xu Han (Name Surname), my hometown is in Handan, northern China, not far from Beijing. I came to Italy to study in 2021. My research is mainly related to meteorology and hydrology, specifically climate change, model evaluation, downscaling methods, extreme weather, etc.

 I like traveling, music, movies, running.