Multimodal ML
Vision, audio, speech, movie, and behavioral features turned into model-ready systems.
Applied ML · Multimodal data · Human perception
Applied scientist building machine learning systems for complex real-world signals: speech, audio, movies, gaze, behavior, and brain data.
Vision, audio, speech, movie, and behavioral features turned into model-ready systems.
Brain, gaze, speech, and clinical data analyzed with statistical care and domain context.
Annotation platforms, dataset pipelines, and validation workflows for collaborative science.
Selected work