Research Summary
I work at the intersection of QCD phenomenology and experimental heavy-ion physics, using jets and energy correlators to probe the quark–gluon plasma. My recent work spans CMS and sPHENIX, including photon-tagged jet axis decorrelations, Z-hadron correlations, and AI-driven detector systems. I previously led machine-learning background subtraction and jet substructure measurements within ALICE.
Jets in heavy-ion collisions
Energy-energy correlators
Machine learning in HEP
Real-time triggers
Appointments
- Postdoctoral Associate, MIT (MITHIG), 2023–present
Education
- Yale University, Ph.D. Physics, 2023; M.S./M.Phil., 2021
- Colby College, B.A. Physics & Computer Science, 2018
Collaboration Membership
- sPHENIX Collaboration (BNL), 2023–present
- CMS Collaboration (CERN), 2023–present
- Electron-Positron Alliance (Archived Data), 2023–present
- ALICE Collaboration (CERN), 2017–2023
Selected Research Experience
- Photon-tagged jet axis decorrelation measurement in heavy-ion collisions (CMS).
- Evidence of medium response via Z-hadron correlations (CMS).
- First measurement of D0 meson photoproduction in ultra-peripheral heavy-ion collisions (CMS).
- Development and commissioning of CMS Forward Shower Counter and ZDC detector systems.
- AI-based trigger systems for sPHENIX and future EIC detectors.
- ML-based background subtraction and jet suppression measurements in ALICE.
Selected Publications (Recent)
- Energy Correlators from Partons to Hadrons (e+e− alliance, arXiv:2511.00149, submitted to Nature, 2025).
- Unbinned measurement of thrust in e+e− collisions at √s = 91.2 GeV (e+e− alliance, arXiv:2510.22038, 2025).
- Evidence of medium response to hard probes using Z–hadron correlations (CMS, arXiv:2507.09307, 2025).
- First measurement of jet axis decorrelation with photon-tagged jets (CMS, CMS-PAS-HIN-21-019, 2024).
- Measurement of radius dependence of charged-particle jet suppression (ALICE, PLB 849, 2024).
- Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters (arXiv:2508.09938, 2025).
Full publication list: INSPIRE-HEP
Invited Talks (Recent)
- Niels Bohr Seminar, Manchester University — Energy Correlators with Archival ALEPH Data (Nov. 2025).
- Quark Matter 2025 Plenary, Frankfurt — Machine learning as a technique for physics analysis (Apr. 2025).
- RHIC/AGS Users Meeting, BNL — Machine Learning on FPGAs for Event Selection (May 2025).
- Hard Probes 2024 Plenary, Nagasaki — Machine learning for the analysis of hard probes (Sept. 2024).
- Nikhef Theory Seminar — Energy correlators as a probe of QCD (Nov. 2024).
- ECT* Trento — Imaging the wake of the jet with energy correlators (Feb. 2024).
Complete talks list: hbossi.web.cern.ch
Honors & Awards
- Breakthrough Prize in Fundamental Physics (2025)
- CMS Awards for outstanding contributions (2025)
- D. Alan Bromley Fellowship (2022–2023)
- NSF Graduate Research Fellowship (2020–2023)
- Phi Beta Kappa (2018)
Teaching & Mentoring
- Graduate students mentored at MIT (2023–present)
- Teaching Fellow, Yale — Modern Physical Measurement (2019–2020)
- Teaching Fellow, Yale — General Physics Laboratory (2018–2019)
- TA, Colby — Physics and CS courses (2014–2018)
Professional Activities
- CMS High pT PInG L3 Convener (2025–present)
- CMS FSC Software Coordinator (2025–present)
- CMS ZDC/HCAL DPG Software Coordinator (2024–present)
- Co-coordinator, ALICE Machine Learning Working Group (2022–2023)
Outreach & Service
- CMS Young Scientist Committee US Regional Representative (2024–present)
- ALICE Junior Representative (2021–2023)
- Organizer, LHC Masterclass, Yale (2019–2023)
- Volunteer, Girl’s Science Investigations, Yale (2018–2023)