Waveforms & Inference
Waveform construction, parameter estimation, Bayesian inference, and fast posterior methods for gravitational-wave data analysis.
Zhenwei Lyu (吕振伟)
Dalian University of Technology · Assistant Professor · Gravitational Waves
My research focuses on gravitational-wave astrophysics, especially on extracting reliable physical information from gravitational-wave signals through waveform modeling and statistical inference. More broadly, it lies at the intersection of strong-field gravity, relativistic astrophysics, and scientific machine learning.
I'm currently an Assistant Professor at Dalian University of Technology. Before joining DUT, he was a Boya Postdoctoral Fellow at Peking University. He received his Ph.D. in Gravitational Physics from the University of Guelph, following earlier degrees in Astrophysics from Beijing Normal University and in Physics from Harbin Institute of Technology.
Research Interests
Selected Directions
Research Group
Ongoing Work
Relativistic Astrophysics
Compact objects, EMRIs, strong-gravity astrophysics, and the astrophysical interpretation of precision gravitational-wave measurements.
Scientific ML
Physics-informed neural networks, neural posterior estimation, and machine-learning tools for forward modeling and inverse problems.
Logs / Notes
Recent Activity and Discussion