Leif Lui
LISA Consortium Core Member - Astrophysics & Waveform Working Group at The University of Hong Kong
Hong Kong Island, Hong Kong, China
Summary
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Senior🎓
Top SchoolLeif Lui is a PhD researcher in theoretical and computational physics specializing in black holes and gravitational-wave modeling, currently based at Peking University and a core member of the LISA Consortium’s Astrophysics & Waveform Working Group. He combines black-hole perturbation theory, numerical geodesic ray-tracing, and machine learning to build astrophysically realistic waveform templates for IMRIs/EMRIs and transients like quasi-periodic eruptions and tidal disruption events. His work explicitly incorporates environmental effects—accretion, gas dynamics, dark-matter spikes, and orbital resonances—to ensure future space-based detectors such as LISA and TianQin can extract richer astrophysical information. He has prior research experience with LIGO and CERN, applying data-driven methods to tests of general relativity and the Standard Model. Funded by the Hong Kong Jockey Club, Leif bridges deep theoretical formalisms and practical pipeline-ready models, accelerating intensive computations with ML-augmented toolchains like FEW and custom C++ codes. He is driven by the goal of turning subtle environmental signatures into observable templates that expand what gravitational-wave astronomy can reveal about black-hole neighborhoods.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Theoretical and Mathematical Physics, Doctor of Philosophy - PhD, Theoretical and Mathematical Physics at Peking UniversityThe University of Hong Kong (HKU)California Institute of TechnologyThe Chinese University of Hong Kong (CUHK)
English, Chinese, Chinese
Github Skills (1)
wavelet1
Github contributions (3)
thuleef/DNE
Mar 2019 - Sep 2020
Contributions:2 commits, 27 pushes, 1 branch in 1 year 6 months
thuleef/wavelet_app
Mar 2019 - Mar 2019
Shiny app for wavelet variance changepoint analysis.
Contributions:2 pushes in 1 day
wavelet
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