- Research Assistant
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.
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 research focuses on the development of statistical methods to improve actionability, trustworthiness and understanding of machine learning-based personal informatics systems with applications to mental health.
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.
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 research focuses on the development of statistical methods to improve actionability, trustworthiness and understanding of machine learning-based personal informatics systems with applications to mental health.