Gaia Grosso

Community & Leadership

Methods only matter if a community adopts them, and a community can only adopt what it knows how to evaluate. Much of my work outside my own papers goes into building that shared ground — the standards, the venues, and the conversations through which machine learning becomes something physicists can actually trust.

Building shared standards

2026 –
Co-organizer, PHYSTAT — event-organizer core team and Advisory Committee
International series of workshops, seminars and schools on statistical methods in particle physics, bringing together physicists and statisticians (founded 2000). Website
2025 –
Co-organizer, VERAIPHY — Validation & Evaluation for Robust AI in Physics
PHYSTAT-endorsed article series on statistical standards for machine learning in fundamental physics; co-organized the inaugural workshop in Amsterdam, 16–17 February 2026. Website · Workshop
2023 – 2025
Convener, ML Innovation (L3) — CMS Machine Learning Group, CERN
Organized seminars, workshops and hackathons on emerging ML methods for CMS. Public workshops: Foundation Models for Physics (Oct 2024) and the Bites of Foundation Models for Physics series (Nov 2024, Jun 2025). Internal hackathons: ML for Reweighting (Oct 2023); Anomaly Detection for Monitoring, Validation and Discovery (Jul 2024).
2025 – 2026
Track convener, CHEP 2026 — “Software environment and maintainability”
Bangkok, Thailand. Abstract selection, session chairing, proceedings review.
2024 – 2025
Co-chair, IAIFI Speaker Selection Committee
Seminar and colloquium series.

Event organization

Mar 2025
Co-organizer, IAIFI Research Panel on the 2024 Nobel Prize in Physics, MIT. Video
Nov 2024
Co-organizer, IAIFI Fireside Chat on the 2024 Nobel Prize in Physics, MIT. Video
Mar 2024
Organizing committee, IAIFI Symposium on the Impact of Generative AI in the Physical Sciences, MIT; co-authored the resulting white paper.

Refereeing

Journals
PRX Intelligence, Physical Review D, Nuclear Physics B, Journal of High Energy Physics, European Physical Journal C.
Conferences
ICLR, AISTATS, NeurIPS Workshop on Machine Learning and the Physical Sciences.

Public engagement

Explaining how we decide that something in the data is real, to audiences from museum visitors to schoolchildren.

Nov 2024
Cambridge Science Festival
Built an LLM-powered, retrieval-augmented interactive Marie Curie persona answering visitors’ questions in historically grounded form.
Nov 2024
Museum of Science, Boston
Public talk and Q&A on AI and particle physics.
Sep 2023
Public lecture — How good is the Standard Model? Hunting anomalies in the LHC data and beyond
Institute of Advanced Study, University of Geneva · Event
2023
CERN Science Gateway
Video recording on physics at the LHC for the permanent exhibition.
Feb 2023
Women in Science 2023 — Donne nella scienza
Panelist at the round table for the International Day of Women and Girls in Science, University of Padova, as part of the university’s 800th-anniversary programme.
Nov 2020
Veneto Night
Livestreamed presentation on new physics searches for the general public and children, University of Padova · Video
2018
Cloud chamber
Built a cloud chamber with a student team for particle-detection demonstrations to high-school students, University of Padova.