Nathalie Huyghues-Beaufond is a qualified lecturer in electrical engineering. She taught for almost a decade to talented future engineers in Paris. Ten years ago, she moved in the UK where she occupied several positions as a electrical  project engineer including 3 years working at Schneider Electric UK.

There, she deployed smart meters and energy management systems in critical infrastructure  such as banks and data centres. In 2013, she graduated  with an MSc in Sustainable Electrical Power at Brunel University where she got introduced to the smart grid paradigm. Following her graduation, she worked as a power system engineer for a heavy industry consultancy company.

Meanwhile, she obtained a 4 years PhD studentship  sponsored by the EPSRC Centre for Doctoral Training in Future Power Network & Smart Grids at University of Strathclyde.  Nathalie is currently based at Imperial College London and works  under the supervision of Professor Goran Strbac. Her research focusses on distribution networks time series analysis and forecasting using classical statistical models  and deep learning technologies.

She is also looking into new strategies for planning and operation of distribution networks. She was actively involved in the delivery of the Kent Active System Management (KASM) project, a LCNF tier 2 project led by UK Power Networks.