Paul Schmidt-Barbo

The paper develops a framework to analyze burst shapes in neuronal cultures, showing they provide more detailed information about network dynamics than traditional features.

This study compares viral and non-viral methods for CAR T cell engineering, finding that non-viral SB transposition alters T cell activation and co-inhibition markers, with CAR design and donor type influencing outcomes.

This paper uses machine learning to classify B cell lymphomas based on BCR repertoire sequencing, achieving high accuracy in distinguishing between subtypes.