Postdoctoral Researcher — University of Illinois Urbana-Champaign
Gravitational waves · Neutron star mergers · Modified gravity
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I come from Hsinchu, a county in northern Taiwan, where I completed my Bachelor's degree with double majors in Physics and Mathematics. I then joined the group of Prof. Chao-Qiang Geng in Hsinchu for doctoral training. In 2019, I pursued a joint PhD between Nat'l Tsing Hua University (Taiwan) and the University of Tübingen (Germany), working in Prof. Kostas Kokkotas' group. I defended my thesis at the end of 2022 and received the degree in early 2023. I subsequently joined the Albert Einstein Institute in Golm under Prof. Masaru Shibata. I am currently a postdoctoral researcher at the University of Illinois Urbana-Champaign, working with Prof. Nicolas Yunes.
My work centers on probing the equation of state of nuclear matter and testing gravity in the strong-field regime using gravitational waves from neutron star mergers. I study how structural properties of neutron stars — tidal responses, quasi-normal mode spectra, elastic crusts, and rotation — imprint on the gravitational waveform, both in general relativity and in modified theories of gravity.
A few precursor flares have been detected for SGRBs, possibly linked to tidal resonances in coalescing binaries. As the orbital frequency sweeps through a stellar mode frequency, resonant excitation stresses the crust to the breaking point. Matching precursor timing to mode frequencies enables asteroseismology of the flaring star, constraining the nuclear equation of state and stellar spin.
Gravitational waves encode orbital dynamics and tidal physics with high purity. I investigate late-time waveform contributions — dynamical tides, f-mode imprints, and post-merger signatures — in both general relativity and modified gravity. Exclusive signatures of beyond-GR theories can serve as unambiguous tests of the fundamental nature of gravity.
A privately maintained branch of the FUKA initial-data library, optimized for binary neutron star configurations. Features a 10× speedup, 70% memory reduction via a sparse matrix solver, and a new 2D axisymmetric solver.
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