Stefano Imoscopi is a Technical Lead and research-oriented engineer with 11 years of experience specializing in AI, machine learning, and applied graph neural networks for time-series forecasting in the energy and climate domains. His background spans speech/audio processing and computer vision—anchored by a comparative master’s thesis on automatic speaker recognition at Ericsson—and double-degree training that includes a minor in business development from EIT Digital. At IDSIA he built and managed heterogeneous temporal and GIS databases to enable robust GNN-based forecasting for load and PV generation, and he now leads technical efforts at GraphSight. Comfortable bridging R&D and product-proof-of-concept work from consultancy to research labs, he combines strong academic credentials (cum laude degrees from TU Delft and KTH) with hands-on software and algorithm development. An amateur musician since childhood, Stefano brings creative persistence to complex modeling problems and a pragmatic focus on solutions that improve services for consumers.
11 years of coding experience
4 years of employment as a software developer
TU Delft
Bachelor's degree, Electrical Engineering, 110/110, Bachelor's degree, Electrical Engineering, 110/110 at Università degli Studi di Trento
Master’s Degree, Computer Science, Cum Laude, Master’s Degree, Computer Science, Cum Laude at KTH Royal Institute of Technology
Master's degree minor, ICT Innovation, Master's degree minor, ICT Innovation at EIT Digital Academy
Master's degree, Telecommunications Engineering, Master's degree, Telecommunications Engineering at Politecnico di Milano
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