Research
ATLAS analyses with a clear through-line: precision heavy flavour, multiple-Higgs, and heavy neutral leptons — using careful statistics and modern AI methods where they sharpen the limit.
Central goals are HNL searches aimed at strong TeV-scale limits, and di-Higgs / tri-Higgs work that probes the Higgs potential and the stability of the universe — with room for students on AI usage in HEP and statistical analysis, methods that transfer across analyses, not only one final plot.
Big picture: precision charm production that tests the strong force (QCD) and feeds rare-decay searches.
Differential cross sections for D± and Ds± in 13 TeV pp collisions. Led the analysis end-to-end as analysis contact and editor.
Big picture: the shape of the Higgs potential sets whether the vacuum we live in is stable. Di-Higgs and tri-Higgs rates are how we measure that shape.
Early exploration and workflow design for multi-Higgs production. Earlier: MPhil thesis research on the CP properties of Higgs–τ interactions.
Big picture: a leading idea for how neutrinos get mass, tied to models of the early universe.
Searches in vector-boson scattering with τ-lepton final states. Role: coordination, workflow design, software framework, computing, and system building.
Selected ATLAS papers with public links.
Education and research together.
Projects that use modern statistical tools and AI where they improve sensitivity, robustness, or analysis speed — especially around HNL searches.
Clear goals, careful methods, and supervision aimed at completed results students can stand behind.
Interested undergraduates, MPhil/PhD candidates, and visitors: email edwinchow@ust.hk.
Student projects with public CDS records.