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.
Employment
- Assistant Professor, Dalian University of Technology, 2024–Present
- Boya Postdoctoral Fellow, Peking University, 2022–2024
Education
- Ph.D. in Gravitational Physics, University of Guelph, 2018–2022
- M.Sc. in Astrophysics, Beijing Normal University, 2015–2018
- B.Sc. in Physics, Harbin Institute of Technology, 2011–2015
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