Signal modeling
Audio, visual, speech, movie, and behavioral features turned into model-ready datasets and workflows.
Applied ML / Human-centered data / Computational neuroscience
Applied scientist building models, datasets, and evaluation workflows for complex real-world signals: speech, audio, movies, gaze, behavior, and brain data.
Audio, visual, speech, movie, and behavioral features turned into model-ready datasets and workflows.
Brain, gaze, speech, behavioral, and clinical data analyzed with statistical care and domain context.
Annotation platforms, dataset pipelines, and validation workflows for collaborative science.
Selected work