CV | Dr Louise J. Slater

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

EMPLOYMENT

2018-: Associate Professor in Physical Geography, University of Oxford, UK (from 1 August 2018)
2017-18: Lecturer in Physical Geography, Loughborough University, UK
2015-16: Research Scholar, IIHR-Hydroscience & Engineering, University of Iowa, USA
2014-15: Lecturer in Physical Geography, Queen Mary University of London, UK
2009-10: Administrator, EU Environmental Policy, BIO Intelligence Service, Paris, France

APPOINTMENTS

2018-: Fellow, Hertford College, University of Oxford, UK
2017-20: Editor, Hydrology and Earth System Sciences (HESS)
2017-20: Outreach Secretary, British Society for Geomorphology (Executive Committee)
2014-16: Appointed member of the Environment Agency’s Data Advisory Group, UK

POSTDOCS

PhD SUPERVISION

GRANTS

2017: NERC/ESRC (CI). ‘Financial planning for natural disasters: flood risk in Central Java’, £328k FEC
2017: SSPGS Seedcorn, Loughborough University (UK), ‘On the predictability of hydrological extremes using satellite data’, £2k
2017: Institute for Advanced Studies, Loughborough University Open Programme (UK), £2.5k
2017: British Hydrological Society Travel grant, £0.5k
2015: Early Career Researcher Grant, British Society for Geomorphology (UK), ‘To what extent have changes in river channel capacity contributed to flood hazard trends in England and Wales?’ £2.5k
2015: The Institute of Mathematics and its Applications (IMA) Small Grant, £512
2011: National Center for Airborne Laser Mapping (NCALM),National Science Foundation (USA),’Where do floodplains begin in fluvial networks?’ $50k in-kind

EDUCATION

2015: Ph.D. in Earth and Environmental sciences (NERC-funded)
Dept. of Earth and Environmental Sciences, University of St Andrews, UK. (Completed in summer 2014)
2015/2017: Postgraduate Certificate in Academic Practice at Queen Mary University of London and Loughborough University, UK
2008-09: Agrégation training at the Ecole Normale Supérieure de Lyon, France
2007: Masters (M1) at the Ecole Normale Supérieure de Lyon, France
2006: Admitted to Ecole Normale Supérieure de Lyon (ENS-LSH), full Postgraduate studentship, ‘Normalienne’
2003-06: Intensive 3-year preparatory school training, Henri IV, Paris, France

PUBLICATIONS and TALKS

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/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

FIELD SKILLS

MISCELLANEOUS

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