{"id":4503,"date":"2025-11-24T12:09:29","date_gmt":"2025-11-24T11:09:29","guid":{"rendered":"https:\/\/www.minesparis.psl.eu\/persee\/?post_type=actualites&p=4503"},"modified":"2025-11-24T12:09:29","modified_gmt":"2025-11-24T11:09:29","slug":"phd-student-spotlight-welcoming-corrado-giancoli-to-centre-persee-mines-paris-psl","status":"publish","type":"actualites","link":"https:\/\/www.minesparis.psl.eu\/persee\/actualites\/phd-student-spotlight-welcoming-corrado-giancoli-to-centre-persee-mines-paris-psl\/","title":{"rendered":"PhD Student Spotlight \u2013 Welcoming Corrado Giancoli to Centre PERSEE \u2013 Mines Paris \u2013 PSL"},"content":{"rendered":"\n
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The Centre PERSEE \u2013 Mines Paris \u2013 PSL is pleased to welcome Corrado Giancoli<\/strong>, who joined the research team on 15 October 2025<\/strong> as a PhD student. Corrado brings a multidisciplinary background spanning quantitative finance<\/strong>, machine learning<\/strong>, and quantum physics<\/strong>, positioning him uniquely to address one of today\u2019s most ambitious scientific challenges:
the application of quantum computing to sustainable energy systems.<\/strong><\/p>\n

An Interdisciplinary PhD at the Crossroads of Energy and Quantum Technologies<\/strong><\/h2>\n

Corrado\u2019s doctoral research, conducted under the supervision of Professor Georges Kariniotakis<\/strong> and Dr. Simon Camal<\/strong> at Centre PERSEE, and in co-direction with Professor Fei Teng<\/strong> from Imperial College London<\/em>, is titled:<\/p>\n

\u201cQuantum Machine Learning and Computing Algorithms for Optimising Sustainable Energy Systems.\u201d<\/strong><\/p>\n

This project investigates how quantum optimisation techniques<\/strong> and quantum-enhanced machine learning models<\/strong> can support critical power system functions, including:<\/p>\n