An aerospace engineer focused on evidence in orbit.
I am a PhD candidate in Aerospace Engineering at Politecnico di Milano, working on space surveillance and tracking, sensor tasking, and orbital fragmentation analysis.
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Research across observation, orbit analysis, and decision support.
From engineering foundations to research in SST.
My academic path began with a BSc in Aerospace Engineering and an MSc in Space Engineering at Politecnico di Milano. My current PhD research brings together observational data, sensor coordination, and methods for understanding events in Earth orbit.
A completed visiting PhD period at The University of Arizona extended that work toward reinforcement learning for sensor tasking. My research and project record includes scientific computing in Python and collaborative work across sensor-network simulation and fragmentation analysis.
Two institutions, distinct roles.
Degrees and candidacy belong to Politecnico di Milano; Arizona was a completed visiting research period.
Politecnico
di Milano.
PhD candidate
Aerospace Engineering
MSc
Space Engineering
BSc
Aerospace Engineering
The University
of Arizona.
Research visit focused on reinforcement learning for sensor tasking in space surveillance and tracking.
Visiting PhD student · completed visit, not a degreeInstitutional marks identify documented academic relationships; their display does not imply endorsement.
Observations, models, and next decisions.
My work connects space-surveillance observations with the analysis needed for catalog maintenance and fragmentation-event characterization.