Francesca Alemanno

Led the integration, commissioning, and testing of the photon detection subsystem for a DUNE far-detector prototype, enabling first physics measurements and validating the prototype design.

Developed a Python framework for real-time calibration and monitoring, automating processing and analysis of terabytes of experimental datasets.

Collaborated with a team of 50+ international engineers and scientists to deliver critical project milestones for a major US neutrino physics experiment.

Presented technical findings to a collaboration of 1,400+ members and at international conferences, directly influencing design choices for detector construction.

Engineered a comprehensive cosmic-ray detector system, encompassing mechanical, electronics, and DAQ in C++/Python, and deployed an end-to-end analysis pipeline.

Developed C++ event reconstruction algorithms that significantly improved energy resolution by optimizing particle ID and tracking methods.

Managed project timelines and deliverables independently, coordinating effectively with a 10-person team to deliver crucial studies for detector-design decisions.

Published research findings in a journal, contributing to the scientific community's understanding of photodetector performance.

Led end-to-end analysis of 5+ years of DAMPE satellite data (~5M events/day), implementing scalable pipelines to extract high-energy cosmic-ray spectra up to 500 TeV.

Developed a GEANT4 Monte Carlo simulation framework for next-generation space detectors, optimizing hardware parameters and modeling detector response.

Conducted hardware R&D with scintillators and SiPM readout, validating devices at national laboratories and in beam test campaigns at CERN.

Authored a first-author paper in Physical Review D and presented results at international conferences, advancing cosmic-ray physics and supporting future space mission technologies.

Implemented a C++ analysis pipeline to efficiently process petabyte-scale LHC datasets for heavy-ion collision studies.

Delivered comprehensive analyzed results and an internal technical report, presenting key findings to the research group.