CV

KEY TOPICS:  river science, floods, hydro-climatology, climate, data science, big data, fluvial geomorphology, statistics.

EMPLOYMENT

APPOINTMENTS/ROLES/FELLOWSHIPS

POSTDOCS

  • 2018-(ongoing): Laurent Courty

PhD/DPhil SUPERVISION

  • 2018-10-(ongoing): Marcus Buechel
  • 2018-10-(ongoing): Timo Kelder
  • 2018-10-(ongoing): Jiajun Li
  • 2017-10-(ongoing): Tessa Driessen

GRANTS

EDUCATION

REVIEWS

  • Journals: Geophysical Research Letters; Water; Water Resources Research; Journal of Geophysical Research: Atmospheres;  Natural Hazards and Earth System Sciences; Scientific Reports;  Geomorphology; Hydrology Research;  Hydrology and Earth System Sciences; Monthly Weather Review;  Nature Communications; Science; Geology (see Publons).
  • Research Councils: NERC, EPSRC

PUBLICATIONS and TALKS

  • For publications, click here
  • For talks, click here

ORGANISING and CONVENING CONFERENCES

  • 2018-04: Using R in Hydrology, 2 hour workshop
  • 2018-01: Seasonal Forecasting, 2 day national meeting, Loughborough University
  • 2017-09: The evolution of flooding and flood risk conference, Geological Society, London

TECHNICAL SKILLS

  • Statistics: varied; time series analyses (detection, attribution, forecasting),  Bayesian multi-model weighting, Cox regression, modelling, etc.
  • Programming: proficient in R; some Python/Fortran.
  • Data science & machine learning:  predictive modelling (regression, classification, dynamically-updated models), evaluation metrics, etc.
  • High performance computing (HPC): cluster computing, Linux, supercomputer simulations.
  • Big data: data management, crawling/webscraping, mining, cleaning, feature engineering, etc.
  • Spatial analysis: proficient in Geographical information systems / cartography (R, ArcGIS) and coding spatial designs in R.
  • Graphic design and data visualisation: Digital illustration (e.g. Adobe Illustrator, Photoshop), multiple kinds of visualisation in R, including app design (e.g. Shiny).
  • Remote sensing: Satellite imagery and aerial photography (e.g. eCognition).
  • Numerical landscape modelling: Digital elevation models, LiDAR.

FIELD SKILLS

  • Environmental data collection
  • Terrestrial LiDAR and photographic structure from motion (Sfm)
  • Drone imagery (UAV)
  • GNSS (GPS) systems; ground truthing
  • Laser measurements
  • Hydrology; telemetry
  • River channel and basin surveys
  • Geomorphological mapping and survey; qualitative analysis
  • Lithology.

MISCELLANEOUS

  • Languages: Bilingual in English and French, good working knowledge of German, basic understanding of Spanish and dialectal Arabic.