Niethammer’s work brings together computer vision, medical image computing, and machine learning. He specializes in methods for image separation and registration, shape analysis, spatio-temporal and multimodal models. Applications include analysis approaches for neuroscience & neurodevelopment, image analysis in the context of stroke, pediatrics, cancer, osteoarthritis, and lupus.

Niethammer joined UC San Diego in 2024, from the University of North Carolina at Chappel Hill, where he was a professor. He holds a Ph.D. from Georgia Tech.