• 2017: Lecturer in Physical Geography, Loughborough University. River science, floods, fluvial geomorphology, hydrology, climate change, data science, big data.
  • 2015-16: Postdoctoral Research Scholar, IIHR-Hydroscience & Engineering, University of Iowa. Flood hydrology, seasonal forecasting and hydroclimatology.
  • 2014-15: Lecturer in Physical Geography, Queen Mary University of London. Fluvial geomorphology, hydrology, field methods, research strategies, data analysis, statistics.
  • 2009-10: Administrator of the EU Policy department, BIO Intelligence Service (environmental consultancy)– Paris 75014, France.


  • 2017-20: Editor for Hydrology and Earth System Sciences (HESS)
  • 2017-20: Outreach Secretary on the British Society for Geomorphology‘s Executive Committee
  • 2014-16: Appointed member of the Environment Agency’s Data Advisory Group (EADAG), UK


  • 2015: Ph.D. in Earth and Environmental sciences (NERC-funded)
    Thesis: Trends in alluvial channel geometry and streamflow: an investigation of patterns and controls. Dept. of Earth and Environmental Sciences, University of St Andrews, UK.
  • 2015: Postgraduate Certificate in Academic Practice (PGCAPat Queen Mary, University of London, UK.
  • 2007-09: Masters and Agrégation training at the Ecole Normale Supérieure de Lyon, France. Geomorphology, GIS, remote sensing, statistics, hydrology, and a variety of other subjects (incl. human geography).
  • 2006: Admitted to ENS (Ecole Normale Supérieure de Lyon Postgraduate studentship, ‘Normalienne’) following an intensive 3-year Classes préparatoires aux Grandes Ecoles (CPGE) training at Lycée Henri IV, Paris, France (also admitted to ENS-Cachan).


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


  • Statistics: varied; time series analyses (detection, attribution, forecasting),  Bayesian multi-model weighting, Cox regression, modelling, etc.
  • Programming: proficient in R; some Python; formerly a lot of SPSS.
  • 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/scraping, 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.


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


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


  • Please do not hesitate to contact me for a complete resume with additional information on teaching, training, admin, project management, grants and awards.