*Media: Our Geophysical Research Letters paper on Recent trends in US flood risk has been featured as a Research Spotlight on Eos and in MIT’s UnDark magazine. The University of Iowa’s Press Release has been picked up by multiple press outlets (incl. NSF’s Science360, Daily Mail, National Geographic, Earth, UPI, BeforeItsNews, PhysOrg, Newswise & others) *
*New paper in International Journal of Climatology: On the impact of gaps on trend detection in extreme streamflow time series*
- 2017: Lecturer in Physical Geography, Loughborough University. Fluvial geomorphology, hydrology, data science, big data.
- 2015-16: Postdoctoral Research Scholar, Iowa Institute of Hydraulic Research (IIHR) Hydroscience & Engineering, University of Iowa. Flood hydrology, seasonal forecasting and hydroclimatology.
- 2014-16: Member of the Environment Agency’s Data Advisory Group (EADAG), UK
- 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.
- 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 (PGCAP) at 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).
RESEARCH AND PUBLICATIONS
- Wilby, R.L., Clifford, N.J., De Luca, P., Harrigan, S., Hillier, J.K., Hodgkins, R., Johnson, M.F., Matthews, T.K.R., Murphy, C., Noone, S.J., Parry, S., Prudhomme, C., Rice, S.P., Slater, L.J., Smith, K.A., Wood, P.J. (under review), The “dirty dozen” of freshwater science: Detecting then reconciling hydrological data biases and errors, submitted to Wiley Interdisciplinary Reviews (WIREs) Water, Nov. 2016.
- Slater, L.J., Villarini, G. (under review), Statistical attribution of changes in streamflow across the U.S. Midwest, submitted to Water Resources Research, Nov 2016.
- Slater, L.J., Villarini, G., Bradley, A., Vecchi G. (under review), A statistical/ dynamical framework for seasonal streamflow forecasting in an agricultural watershed, submitted to Climate Dynamics, 2016.
- Villarini, G., Slater, L.J., (in press) Climatology of flooding in the United States, Oxford Research Encyclopedia of Natural Hazard Science, 2016.
- Slater, L.J., Villarini, G. (2016), On the impact of gaps on trend detection in extreme streamflow time series, International Journal of Climatology. doi: 10.1002/joc.4954
- Slater, L.J., Villarini, G. (2016), Recent trends in U.S. flood risk, Geophysical Research Letters, 2016. doi: 10.1002/2016GL071199. Featured as a Research Spotlight in Eos (AGU’s weekly Earth Science Magazine).
- Slater, L.J., Villarini, G., Bradley, A. (2016), Evaluation of the skill of North-American Multi-Model Ensemble (NMME) Global Climate Models in predicting average and extreme precipitation and temperature over the continental USA. Climate Dynamics, special collection on the North American Multi-Model Ensemble (NMME) seasonal prediction experiment. doi: 10.1007/s00382-016-3286-1
- Slater L.J., (2016) To what extent have changes in channel capacity contributed to flood hazard trends in England and Wales? Earth Surface Processes and Landforms, Special Issue Stormy Geomorphology, doi: 10.1002/esp.3927
- Slater, L.J., (2015), Trends in alluvial channel geometry and streamflow: an investigation of patterns and controls, Ph.D thesis, University of St Andrews
- Slater, L.J., (2015) Singer, M.B., Kirchner J.W., Geomorphic and hydrologic drivers of trends in flood hazard, Geophysical Research Letters, 42, doi: 10.1002/2014GL062482. PDF. html. Supplementary material. Media attention: AGUniverse Publication Highlight; U. of St Andrews Press Release; Environmental News Network; The Saint; Swamp School; Geoengineer; Flooding and Coastal Erosion Risk Management Network; Phys.org; Herald Scotland; Science Daily; Environmental Monitor.
- Clubb, F.J., Mudd S.M., Milodowski D.T., Hurst M.D., Slater L.J., (2014), Objective extraction of channel heads from high resolution topographic data, Water Resources Research.
- Slater, L. J., and Singer, M.B. (2013), Imprint of climate and climate change in alluvial riverbeds: Continental United States, 1950-2011, Geology, doi:10.1130/G34070.1 PDF; html; Supplementary material. Prize for the best student-led peer-reviewed journal article for 2013. Geological Society of America (GSA) Press Release; University of St Andrews Press Release
- Piégay, H., Alber, A., Slater, L.J., and Bourdin, L. (2009), Census and typology of braided rivers in the French Alps, Aquatic Sciences, 71(3), 371–388, doi:10.1007/s00027-009-9220-4
- Slater, L.J. (2007), Caractérisation des rivières en tresses françaises, Master’s thesis, University of Lyon / ENS-lyon.
- Slater, L.J., Villarini, G. (Nov 2016), Statistical attribution of changes in streamflows across the U.S. Midwest, Iowa Flood Center, USA.
- Slater, L.J., Villarini, G. (March 2016), Seasonal discharge forecasting in an agricultural watershed, Iowa Flood Center, USA.
- Slater, L.J., Villarini, G., Singer M.B., Kirchner, J.W. (February 2016), Climatic, hydrologic and geomorphic drivers of trends in flood hazards, Department of Earth Sciences Seminar Series, University of Minnesota, USA.
- Slater, L.J., (June 2015), Géomorphologie et Inondations, Ecole Normale Supérieure de Lyon, France.
- Slater, L.J., Singer, M.B., Kirchner, J.W. (March 2015), Quantifying the influence of geomorphic change on fluvial flooding, Institute of Mathematics – 3rd International Conference on Flood Risk, Swansea University, UK.
- Slater, L.J., Singer, M.B., Kirchner, J.W. (2014), Compared effects of trends in streamflow and channel geometry on flood hazard across the USA, Research Seminar Series, Queen Mary University of London, UK.
- Slater, L.J., Singer, M.B., Kirchner, J.W. (2014), Geomorphic and hydrologic drivers of flood risk trends, Global Change seminar series, School of Geosciences, University of Edinburgh, UK.
- Slater, L.J., Singer, M.B. (2013), The influence of climate and streamflow on the evolution of channel geometry: Continental USA, 1950-2011, Session 19C, International Association of Geomorphologists (IAG), Paris, France.
- Slater, L.J., Singer, M.B. (2013), Evolution of channel capacity and its impact on flood frequency, International conference on fluvial sedimentology (ICFS), University of Leeds, UK.
- Slater, L.J., Singer, M.B. (2012), Contrasting responses of alluvial channels to climate change, conterminous United States, 1950-2011, IS.Rivers international conference, Lyon, France.
- Slater, L.J., Singer, M.B. (2011), Imprint of climate change in alluvial riverbeds: Continental USA, 1950-2010 AGU Fall Meeting, San Francisco, USA.
- Slater, L.J., Singer, M.B. (2011), Imprint of climate change in alluvial riverbeds: Continental USA, 1950-2010, Scottish Alliance of Geoscience, Environment and Society, SAGES, Edinburgh, Scotland, UK.
- Slater, L.J., Singer, M.B. (2011), Spatial patterns and temporal trends in river bed level across the continental United States, Advances in River Science, Swansea, UK.
- Slater, L.J., Piégay, H. (2007), Les rivières en tresses : premier état des lieux géographique, Digne-les-Bains, France.
- Slater, L.J., Villarini, G. (Dec 2016), Statistical attribution of changes in streamflow in the U.S. Midwest, AGU Fall meeting
- Others to be added..
- Statistics: varied- all types of trend analyses (detection, attribution, forecasting), Bayesian multi-model weighting, Cox regression, modelling, etc.
- Programming: proficient in R; some Python; formerly a lot of SPSS (have taught classes in both R and SPSS).
- Data science & machine learning: xgboost, random forests, classification, logistic regression, predictive modelling, dynamically-updated models, evaluation metrics, etc.
- High performance computing (HPC): cluster computing, Linux command-line syntax, 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; hydrology; telemetry; inclinometry; ground truthing; river channel and basin surveys; geomorphological mapping and survey; qualitative analysis; lithology; laser measurements.
- Article for Planet Earth, Changing Channels. NERC’s magazine, aimed at non-specialists (Autumn 2015 edition). Two-page feature on how open data can help defend against river flooding. Html version.
- Radio interview for BBC Radio4, Inside Science, March 12 2015 (starts about 10 minutes in, after the excerpt from the Archers).
- Funding Insight, on obtaining and completing the Early Career Researcher Grant from the British Society for Geomorphology.
- Languages: Bilingual in English and French, good working knowledge of German, basic understanding of Spanish and dialectal Arabic.
Please do contact me for a complete resume with additional information on teaching, training, admin, project management, grants and awards.