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I am a French physicist and Research Director at Mines Paris - PSL University, within the O.I.E. Laboratory. My research focuses on solar irradiance forecasting, time-series modelling, artificial intelligence for energy systems, and, historically, medical physics. I am also Visiting Professor at the Faculty of Engineering, University of Kragujevac, Serbia, and maintain scientific cooperation with the University of Corsica. .
My multidisciplinary career bridges clinical technologies and renewable energy systems, with over two decades of experience across healthcare, academia, and applied research. I have authored more than 130 peer-reviewed articles, contributed to several national and EU-funded projects (e.g., SAPHIR, Fine4cast, TILOS), and developed tools such as LQL-Equiv, a rare open-source software for radiotherapy dose equivalence, adopted in clinical and academic centers across more than 20 countries. Designed for oncology professionals, it enables transparent and reproducible BED/EQD2 calculations, supporting treatment planning and education worldwide.
My current research focuses on the development of advanced forecasting metrics, hybrid AI models, and energy-aware digital tools for microgrids and climate resilience. I am also also the founder of Phy2A (SIREN 928 694 827), a scientific consultancy specialized in advanced solutions for healthcare, energy, and meteorology and Associate Editor for Scientific Reports (Nature Portfolio).
Background
Background
From 2003 to 2024, I worked as a certified medical physicist (DQPRM) in several French hospitals. I led the Medical Physics and Radiation Protection Unit (UF01795) at CHD Castelluccio (Ajaccio) from 2020 to 2024. During this period, I was involved in treatment planning, radiation safety, and quality assurance in radiotherapy, as well as supporting medical imaging techniques such as CT and SPECT. I contributed to the safety or planning of radiotherapy for more than 10,000 patients.
I co-developed LQL‑Equiv, a freeware tool to calculate biologically equivalent doses in radiotherapy, in collaboration with Daniel Julian [archive]. This software is now used by clinical and academic centers in over 20 countries. In parallel, I held academic positions at the University of Corsica from 2011 to 2023, where I taught physics, thermodynamics, stochastic processes, and biostatistics. I contributed to both undergraduate and graduate programs at the IUT and the engineering school Paoli Tech.
I also held:
A visiting researcher position at CNRS UMR 6134 (2013–2015)
An associate researcher role at the University of La Réunion (2018–2019)
In 2024, I left the hospital sector to focus entirely on scientific research.
Current Research
Current Research
I am now a research director at the O.I.E. Laboratory (Observation, Impacts, Energy) at Mines Paris – PSL, based in Sophia Antipolis. His main research focuses on:
AI-based solar irradiance forecasting
Probabilistic modeling
Uncertainty quantification
Energy optimization in smart microgrids
Recent innovations include:
Clear-sky-free models using extreme learning machines trained directly on raw GHI data.
Transfer learning and clustering to adapt forecasting models to locations with little or no data.
Complex-valued time series encoding both amplitude and volatility for probabilistic forecasting.
The introduction of the Stochastic Coefficient of Variation (sCV) and a new Forecastability Index.
Key publications:
Stochastic Coefficient of Variation..., Renewable Energy, 2026
Transfer Learning for Solar Forecasting, Applied Energy, 2024
ML methods for solar radiation forecasting: A review, Renewable Energy, 2017
Complex-Valued Time Series for Forecasting, J. Renewable and Sustainable Energy, 2023
Research Projects
Research Projects
I have contributed to several national and European collaborative projects:
SAPHIR (ANR): Sensor-Augmented High-Resolution Weather Prediction
Fine4cast (ANR): Fine-scale Forecasting for Renewable Systems
I have also been involved in platforms for hydrogen storage, microgrid simulation, and uncertainty modeling.
Recognition and Service
Recognition and Service
Included in Stanford University's Top 2% Most-Cited Scientists (Energy/Engineering, since 2020):
Recipient of:
City of Nice Prize (2012)
PVSEC Award (2012)
Member of editorial boards:
Turkish Journal of Forecasting
Scientific committee member for international conferences including IWCMC, IWCF, ENVIROSENS
Reviewer for more than 30 international journals, including Solar Energy, Applied Energy, IEEE Transactions, RSER, Energy
External Profiles
External Profiles
solar forecasting, photovoltaic energy, renewable energy modeling, grid integration, spatiotemporal forecasting, machine learning, medical physics, radiotherapy modeling
solar forecasting, photovoltaic energy, renewable energy modeling, grid integration, spatiotemporal forecasting, machine learning, medical physics, radiotherapy modeling
I maintain several academic profiles across platforms to enhance research visibility, ensure citation accuracy, and facilitate open-access dissemination
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