Neuroscience Behavioral ML Video Annotation (Weill Cornell Medicine)
Annotated and prepared behavioral neuroscience video datasets for machine-learning models trained to identify micro-movements in rodent pellet-grasping behavior. Labeled limbs and paws frame-by-frame, segmented task recordings into structured sequences, and tracked positional patterns. Followed detailed lab annotation protocols, maintained consistency across large batches of data, and ensured high-quality labels for downstream analysis.