Mariana Clare

Scientist for Machine Learning
Forecast Department, Evaluation Section, Verification and Observation Monitoring

Summary:

Mariana joined ECMWF in 2022 as part of the Destination Earth Project. Her background is in Mathematics and Statistics and her work at ECMWF focusses on using machine learning techniques to improve the post-processing of ensemble forecasts.

Professional interests:
  • Statistical post-processing
  • Probabilistic forecasting
  • Assessing uncertainty using machine learning methods
Career background:

Ph.D., Imperial College London. London, UK (2022). Thesis on “Advanced numerical and statistical techniques to assess erosion and flood risk in coastal zones”. PhD supervisors: Matthew Piggott and Colin Cotter.

MRes in Mathematics of Planet Earth, Imperial College London. London, UK (2018). Final grade: Distinction. Thesis on "Modelling sediment in and around offshore wind farms" (supervised by Matthew Piggott and Colin Cotter).

MMath in Mathematics, University of Oxford. Oxford, UK (2012-2016). Final grade: First. Specialization in numerical methods and fluid mechanics. Thesis on "The fluid mechanics of natural ventilation" (supervised by Ian Hewitt).

Professional Experience
  • Since 07/2022: Scientist, Forecast Department, ECMWF
  • 12/2021–06/2022: PostDoc, Department of Earth Science and Engineering, Imperial College London, UK
  • 11/2021–12/2021: Visiting Research Fellow, LOCEAN, Institut Pierre-Simon Laplace (IPSL), Paris, France
  • 10/2020–12/2020: Visiting Research Assistant, UK Meteorological Office, Exeter, UK
  • 09/2016–09/2017: Forensic Data Analyst, PwC, London, UK
External recognitions

Visiting Research Assistant at Imperial College London