Greater Munich Metropolitan Area
I have a PhD in Particle Physics, several years of experience in the forefront research and data science projects, in-depth analytical thinking, problem-solving and leadership attitudes. I am currently working at E.ON’s Global Advanced Analytics and Artificial Intelligence unit, leading several data science projects, from ideation and proof-of-concept to industrialization, on intelligent asset management, smart grids, and artificial intelligence driven energy economics. I like carrying out my research and data science activities within large multicultural organizations: previously at the Fermi National Accelerator Laboratory (Fermilab, Chicago, USA) and at the European Organization for Nuclear Research (CERN, Geneva, Switzerland), and currently at E.ON. My expertise comprises large-scale and complex data analysis, development of simulation and advanced monitoring and forecasting tools. I have strong backgrounds in statistics, machine learning, as well as in data analytics and visualization, object-oriented programming in C++ and Python, and distributed computing. I enjoy learning new things, extracting quantitative and meaningful insights from large datasets, as well as coping everyday with challenges and problems that need quick and effective solutions.
Leading Quantum innovation and advanced data-science initiatives for energy-system applications.
Leading project and roadmaps definition(AI-driven energy economics, data-driven renewables, and intelligent asset management). Running the corresponding E.ON-wide digital-transformation lighthouse projects. Coordinating know-how transfer and synergies exploitation between projects. Securing Intellectual Property (patent applications). Coordination and selection of external partners.
Leading team of internal and external data scientists and engineers in the design, implementation and industrialization of several energy-related data science projects: predictive maintenance, anomaly detection, asset optimization, energy economics, and smart grids.
Design, implementation and industrialization of several energy-related data science projects: predictive maintenance for renewable assets (anomaly detection, asset optimization)
Research activity in collaboration with the ATLAS experiment at the CERN Large Hadron Collider (LHC), Geneva, Switzerland. Large scale data analysis tracking system alignment, precision measurements of physics observables (top quark mass), large scale data analyses using distributed computing architectures. Software development for particle identification and reconstruction. Reconstruction/data selection algorithms optimization.
Research activities in collaboration with the CDF experiment at the Tevatron collider (Fermi National Accelerator Laboratory, Batavia, IL, USA): precision top quark physics measurements, design of online data acquisition systems aimed at the search for the Higgs boson. Participation to upgrade projects of the online data acquisition system of the experiment (hardware / firmware / software).