Enabling data-driven science & innovation for societal impact

Roberto holds an M.Sc. and a Ph.D. in Particle Physics from the University of Torino, Italy. He has worked for several years in fundamental research as a senior fellow and data scientist at the CERN Experimental Physics division and on a research project supported by the Belgian National Fund for Scientific Research (FNRS). In 2018 he moved to EPFL to work on data mining and Machine Learning techniques for the built environment and renewable energies. He has started and led multiple collaborations with academic and industry partners in the energy domain. Roberto joined the SDSC in September 2021 as a Principal Data Scientist with the mission of accompanying industries, NGOs and international organizations through their data science journey.

Carl holds a Ph.D in Mathematics from École des Ponts ParisTech and Université Gustave Eiffel in Paris. He has broad interests in statistics and stochastic control, and works on reinforcement learning, generative methods and time series forecasting, with applications in various domains such as energy, finance and physics. He worked with EDF R&D and Finance des Marchés de l’Energie (FiME) laboratory on applications of machine learning to risk management, including time series generation and deep hedging. He joined the SDSC in 2022 as a senior data scientist in the academic team at École Polytechnique Fédérale de Lausanne (EPFL).

Victor joined as a Data Scientist in the SDSC Innovation team in 2023. He holds a Bachelor's degree in Mechanical Engineering (B.Eng.) from the University of Pretoria in South Africa, as well as Master's degrees in Robotics and Mechatronics (M.Sc.) and Artificial Intelligence (M.Sc.) from KU Leuven in Belgium.Prior to joining SDSC, he worked for several years as a consultant at Capgemini Engineering and as an R&D Engineer at Toyota Motor Europe. Within the Advanced Powertrain and Target Setting team at Toyota, Victor played a crucial role in the pre-development of innovative electric and fuel-cell vehicles. His responsibilities included leading the development and deployment of Natural Language Processing (NLP) tools and pipelines, data science and machine learning, building data analytics dashboards, statistical forecasting, powertrain design, optimal control system design, and strategic technical target setting. He is passionate about leveraging his combined Engineering and Data Science knowledge to solve complex problems in the industry.

After earning a MSc in Theoretical Physics at University of Padua, Giulio graduated in Quantitative Finance from Bocconi University. Before joining the SDSC industry cell in June 2021, he spent a few years working in the financial sector, where he mainly dealt with the application of machine learning to financial risk management. When not coding, Giulio spends his free time playing bass guitar, hiking and cooking.