Ming Li

Ming Li is a Researcher at the Yale School of Medicine's Department of Internal Medicine, specializing in Rheumatology. Their work integrates clinical research with advanced astrophysical investigations, particularly focusing on gravitational wave detection through pulsar timing arrays. This dual focus bridges medical research and cutting-edge astrophysics, leveraging interdisciplinary methodologies.

Research interests include the application of signal analysis techniques to both clinical data and pulsar timing datasets, exploring gravitational wave backgrounds, supermassive black hole binaries, and the intersection of machine learning with astronomical surveys. Recent studies emphasize developing efficient algorithms for cross-correlating astrophysical signals and improving noise modeling in pulsar timing arrays.

Publications highlight contributions to understanding galactic structures through gravitational wave tomography and advancing computational pipelines for detecting eccentric binary systems. Collaborative efforts with international teams like NANOGrav have produced seminal work on harmonic analysis and spectral index evolution in pulsar data.