Physicist with extensive experience in collecting, classifying and interpreting large datasets using advanced data mining techniques and statistical methods. Worked for seven years at CERN, the largest European international organization for scientific research, as a scientist at the Large Hadron Collider.
Genuinely interested in the application of scientific method and technological innovation towards sustainable solutions. Research areas: climate change, renewable energies, artificial intelligence for energy efficiency and energy systems in urban areas. Currently working on the development of algorithms for the real-time forecasts of renewable energy potential for the built environment using Big Data (NRP75 Big Data project of Swiss National Science Foundation).
Since 2017 helping the Innovation Sprint Team of the Geneva 2030 Ecosystem network to advance the UN Sustainable Development Goals (SDGs).
Experimental Physics, Statistical analysis and Big Data, Machine Learning techniques, Geographic Information System