Research Interests
Physics analysis, trigger/DAQ, and ML for real-time event selection.
Key Contributions
Selected leadership and technical contributions across ATLAS and CMS.
Run-3 MET Trigger Commissioning (ATLAS)
Leading commissioning and physics-performance validation of calorimeter-based missing transverse momentum triggers under high pile-up conditions.
HL-LHC Global Trigger: Pile-up Suppression
Developing and validating pile-up suppression algorithms for next-generation trigger architectures, optimised for low latency and hardware constraints.
NomAD: Distilled Level-1 Anomaly Trigger
Developed a novel distilled ML anomaly-detection trigger for the ATLAS Level-1 Topological Trigger, enabling deployable real-time selection for rare signatures.
Industry Collaboration (HPE): Calorimeter Compression
Leading an industry–academia collaboration on ML-driven calorimeter data compression for future collider detectors, bridging physics constraints and hardware-aware ML design.
Selected Publications
Full list on INSPIRE.
- Chopping and distilling variational autoencoders for real-time anomaly detection in high energy physics — arXiv:2606.14857 (2026). Joint first author.
- Memristive tabular variational autoencoder for compression of analog data in high energy physics — arXiv:2602.15990 (2026). Submitted to Nature Communications.
- Study of Z+jets events using variables sensitive to double-parton scattering in pp collisions at 13 TeV — JHEP (2021).
- Extraction and validation of a new set of CMS Pythia8 tunes from underlying-event measurements — EPJC (2020).
- Layout and Assembly Technique of the GEM Chambers for the CMS muon upgrade — NIM A (2019).
- Measurement of the underlying event activity in inclusive Z production at 13 TeV — JHEP (2018).
Contact
For academic positions, collaborations, and invited talks.