FDL Europe 2019: Atmospheric Phenomena and Climate Variability Team

 

FDL Europe 2019: Atmospheric Phenomena and Climate Variability Team

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Researcher Alyson Douglas
I am a final year PhD student at the University of Wisconsin-Madison in the Atmospheric and Oceanic Sciences Department studying aerosol-cloud-climate interactions. I use satellite observations and reanalysis to classify warm clouds into regimes and identify regime specific aerosol-cloud-radiation interactions and how they will impact future climate estimates. My current work is looking into precipitation invigoration by aerosol in warm clouds to find how aerosol may lead to micro- and macrophysical changes in precipitation development and cloud organization. Any changes to warm phase precipitation likely propagate during further development of the cloud into mixed phase. When not studying clouds, I enjoy rock climbing, hiking, and reading.


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Researcher Fabrizio Falasca
I am an Italian student currently pursuing a Ph.D. in Climate Science in the Georgia Institute of Technology under the supervision of Prof. Annalisa Bracco and Prof. Athanasios Nenes. I received a bachelor and master degree respectively in Physics and Physics of Complex Systems from the University of Torino. The goal of my Ph.D. thesis is to develop and applying data mining methodologies, stemming from complex network analysis, with the specific purpose of investigating local and non-local interrelationships in the climate system.

In my free time I enjoy working out, watching (and until some years ago playing) rugby, listening to live music and traveling.


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Researcher Richard Strange
I’m Richard, a DPhil student at the Department of Earth Sciences at the University of Oxford. My research focuses on applying AI to volcanic seismology to better forecast eruptions and more closely constrain eruptive behaviours. I have an academic background in Earth Sciences, and I spent a few years between degrees as a data science consultant, and as part of a crop-health drone imaging analytics start-up.

Outside of research, I’m an enthusiastic violinist and pianist. I am British-Polish, having lived in Portsmouth and Warsaw, and I a member of Oxford’s Linacre college


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Researcher Valentina Zantedeschi
Valentina Zantedeschi is a Machine Learning researcher who received her Ph.D. from the Universities of Saint-Etienne and Lyon, France, with a thesis on Local Learning approaches with theoretical guarantees. For this thesis, she was awarded with the outstanding graduate prize 2019 from the French Society of AI, AFIA. She is also the creator of the open-source library Adversarial Robustness Toolbox. Her research works span form kernel methods and learning theory to adversarial examples and decentralized learning, also with applications in object recognition and disease detection. Currently, she is working on the optimization of sparse representations that are provably good for generalization and interpretable.

 
Leonard Silverberg