Dr Rossella Arcucciis a Lecturer in Data Science and Machine Learning at Imperial College London (ICL). She is an elected member of the World Meteorological Organization and the elected speaker of the AI Network of Excellence at ICL where she represents more than 270 academics working on AI. She has been with the Data Science Institute at ICL since 2017 where she has created, and she leads the Data Assimilation and Machine Learning (Data Learning) group.
In this talk Rossella introduces Data Learning, a field that integrates Data Assimilation and Machine Learning. Data assimilation (DA) is a techniques used to develop digital twins, considering the uncertainties of both model and data. However, these approaches are linear and are often incapable of fully representing real world situations. Machine learning (ML) shows great capability in approximating nonlinear systems and extracting meaningful information from high dimensional data. Integration of ML with DA increases the reliability of prediction by including information in real time and with a physical meaning.
Further information and details, this and the wider webinar series is online at https://digitalenvironment.org/webinars/cde-webinar-series-upcoming/#arcucci .