Wenbin Lu

Wenbin Lu is a Professor in the Department of Statistics at NC State University, serving as Director of Statistics Graduate Programs until July 2025. His expertise spans Biostatistics, High Dimensional Data Analysis, and Machine and Reinforcement Learning. He holds affiliations with the university's administrative faculty, contributing to academic governance and program development.

Lu earned a Ph.D. in Statistics from Columbia University in 2003. His research focuses on statistical methodologies applied to astrophysical phenomena, including tidal disruption events (TDEs), fast radio bursts (FRBs), and neutron star mergers. He also develops advanced machine learning frameworks for analyzing high-dimensional genomic and medical data, such as copy number variants in whole genome sequencing studies.

His recent work bridges astrophysics and statistics, with studies on TDE accretion dynamics, FRB energy distributions, and kilonova spectroscopy using the James Webb Space Telescope (JWST). He has pioneered computational models like equation-guided neural networks for time-to-event data and statistical frameworks for optimal treatment regimes in healthcare.

Lu collaborates on projects like GHOSTBUSTERS, a survey investigating TDE host galaxies, and contributes to interdisciplinary initiatives such as the Galactic Radio Explorer. His work has been published in prominent journals across astrophysics and statistics, addressing topics ranging from relativistic outflows to policy learning algorithms.