Hello and welcome!

I am a river scientist at the School of Geography and the Environment (University of Oxford), a tutorial fellow of Hertford College, and an honorary visiting fellow at Loughborough University. I obtained a PhD in Earth and environmental sciences from the University of St Andrews (UK), was a geography graduate student of the Ecole Normale Superieure Lyon (France), and an undergraduate at the Lycee Henri IV Classes preparatoires (Paris, France). My research focuses on attributing and forecasting changes in fluvial systems and hydrological extremes in the context of contemporary shifts in both climate and land cover, over daily to multidecadal timescales. I have a keen interest in developing new computational, data-driven and ensemble-based methods for understanding and projecting fluvial and hydroclimatic change. On these webpages you will find updates on my current research (below), Publications, Outreach activities, Conference talks, and a short CV. If you are interested in undertaking doctoral or post-doctoral research in any of these areas, please do send me an email or get in touch via Oxford’s Doctoral Training Partnership.

 

Seminars Feb-Mar 2016

On Thurs. 11 February 2016, I’ll present “Climatic, hydrologic and geomorphic drivers of trends in flood hazards (UK/USA)” for the University of Minnesota Department of Earth Sciences 2015-2016 Seminar Series.

On Wed. 23 March 2016, I will present our new model for “Seasonal discharge forecasting in an agricultural watershed” at the Iowa Flood Center.

New position at the IIHR-Hydroscience & Engineering (Iowa)

On 1 July 2015 I will begin a new position as a postdoctoral research scholar in G. Villarini’s group at the Iowa Institute for Hydraulic research (IIHR – Hydroscience & Engineering, UIowa) in Iowa City. I will be working on the following research areas:

  • Streamflow/flood forecasting over relatively long lead times (monthly-seasonal), using the North-American multi-model ensemble (NMME) data
  • Assessing the skill of the NMME
  • Quantifying the agricultural/demographic drivers of flood losses