- Affective Computing
Noah Jones is a Ph.D student in the Affective Computing group at MIT Media Lab. He studied Psychology, Neuroscience and Mathematics as an undergraduate and has worked as a clinical research scientist for the Helen Wills Neuroscience Institute at UC. Berkeley, Wake Forest School of Medicine Department of Psychiatry and startup Neurolex Health Diagnostics.
Noah has also done internships as a Ph.D Student at the Harvard University Nock Lab, and Google Research.
His prior research at the lab includes natural language processing methods related to transfer learning and dialogue modeling to improve content moderation for mental health.
His current work focuses on multimodal representation learning of wearable data using masked autoencoding and improving the reliability of machine learning algorithms for healthcare and the behavioral sciences.