Youzuo Lin

Youzuo Lin is an Associate Professor at the School of Data Science and Society (SDSS), University of North Carolina at Chapel Hill. Previously, he served as a Senior Scientist at Los Alamos National Laboratory (2010–2024). He holds a Ph.D. in Applied and Computational Mathematics from Arizona State University (2010).

His research focuses on scientific machine learning (AI for Science), deep learning, and computational methods applied to medical imaging (e.g., ultrasound tomography, brain imaging), geoscience (subsurface imaging, CO2 sequestration), and seismology (earthquake detection). He leads projects like OpenFWI and EFWI benchmark datasets for seismic inversion, BrainPuzzle for ultrasound brain imaging, and EarthquakeGen for earthquake simulation using GANs.

Recent work emphasizes hybrid physics-driven and data-driven approaches, including physics-informed data augmentation and diffusion models for FWI. His methods address challenges such as narrow data acquisition apertures, limited training datasets, and computational efficiency in resource-constrained environments. He co-developed Edge-InversionNet for edge device inference and contributed to quantum algorithms for geoscience problems.

Lin’s research has been applied to carbon sequestration monitoring, medical diagnostics, and geophysical exploration. He is an editorial board member of the IEEE Open Journal of Signal Processing and actively contributes to Kaggle competitions (e.g., Geophysical Waveform Inversion).

His group welcomes Ph.D. students, interns, and visiting researchers. Openings emphasize expertise in machine learning, computational physics, and domain-specific applications.