MLQC4FC mobilises five complementary Working Groups that connect ML, QC, theory, infrastructure, and community outreach to turn ideas into impact.
Check the full list of Working Group membersCo-Leaders: Dr Valentina Vecchio, Prof Pietro Vischia
Develops advanced ML techniques for reconstruction, triggering, anomaly detection, and analysis workflows tailored to collider datasets, emphasising robustness and interpretability.
Co-Leaders: Dr Simon Williams, Dr Theodota Lagouri
Investigates quantum algorithms and hybrid ML+QC pipelines that can support simulation, optimisation, and pattern recognition tasks.
Co-Leaders: Dr Humberto Reyes-Gonzalez, Dr Andrea Coccaro
Bridges theoretical and experimental developments, advancing the usage of common frameworks for developing targeted signature-based experimental signatures and for interpreting the analysis results.
Co-Leaders: Prof Louis-Francois Pau, Dr Rakhi Mahbubani
Coordinates software engineering, data management, and computing resource strategies, ensuring Action outputs can scale on heterogeneous infrastructures.
Co-Leaders: Dr Jelena Jovicevic, Dr German Sborlini
Develops training programs, communication campaigns, and inclusive outreach initiatives to expand the community and amplify the Action’s impact.