FEDERICO BATTISTI
Email: federico.battisti4@unibo.it / federico.battisti@bo.infn.it
Phone: +39 334 1409217
PROFILE
Post-doctoral researcher in particle physics at the University of Bologna and INFN. Member of the DUNE and SBN collaborations. Specializes in accelerator neutrino physics, detector development, and reconstruction algorithms. Experienced with ANTARES, SBN, ALICE, and DUNE in EU, UK, and US institutions.
RESEARCH & TEACHING EXPERIENCE
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10/2024 – Present: Post-doctoral Researcher, INFN & University of Bologna
Focus: SAND detector for DUNE; track reconstruction, beam monitoring, neutrino analysis
Supervisor: Nicoletta Mauri
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10/2024 – 03/2025: Master’s Thesis Co-supervisor, University of Bologna
Thesis: Neutrino beam monitoring with SAND at the DUNE near site
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09/2023 – 12/2023: Particle Physics Lab Tutor, University of Oxford
EDUCATION
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10/2020 – 03/2025: DPhil in Particle Physics, University of Oxford
Thesis: Neutrino interactions with a high-pressure gas TPC
Supervisor: Xianguo Lu
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10/2017 – 04/2020: Master’s Degree in Particle Physics, University of Bologna
Thesis: Monitoring of the DUNE beam with SAND
Grade: 110/110 cum laude
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09/2014 – 09/2017: Bachelor’s Degree in Physics, University of Bologna
Thesis: Neutrinos from the galactic plane with ANTARES
Grade: 110/110 cum laude
SELECTED PUBLICATIONS
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A Kalman Filter for track reconstruction in very large TPCs, CPC, Vol. 308, 2025; Authors: Federico Battisti, Marian Ivanov, Xianguo Lu
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The DUNE Near Detector, ICHEP 2022 proceedings; Authors: Federico Battisti for the DUNE collaboration
RESEARCH EXPERIENCE & INTERNSHIPS
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2020–Present: Member of DUNE (SAND, ND-GAr, simulations/software)
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2025–Present: Member of SBN
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2022–2024: External Collaborator, ALICE Experiment
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2019–2020: Master’s Thesis Intern, INFN Bologna / Frascati Labs
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2018–2019: Erasmus+, iTHEPHY project (top-quark SMEFT analysis)
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08–09/2018: Summer Student, Fermilab (SBN, ML for background rejection)
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07–08/2018: Summer Student, University of Oxford
TALKS & CONFERENCES
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IFAE 2025 (Cagliari): Talk on DUNE ND-GAr
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ICHEP 2022 (Bologna): Talk on DUNE Near Detector
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APS April Meeting 2021, Neutrino Telescopes 2021
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Learning to Discover Workshop, Paris-Saclay
SKILLS
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Programming: C++, Python, ROOT, PyROOT, matplotlib, Jupyter
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Machine Learning: ROOT TMVA, scikit-learn
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Project Tools: GitHub (forking, branching workflows)
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Simulation & Reconstruction: Detector modeling, tracking, TKI analysis
