Daniel Emden

Daniel, a computer scientist with a passion for data analysis and technology, is committed to utilizing innovation to tackle the challenges of mental health disorders. At present, his focus is on extracting insights from spoken text collected through the Digital Phenotyping App ReMAP. His area of expertise lies in the intersection of Digital Phenotyping and Mobile Sensing within the field of affective disorders. Daniel employs advanced data analytics and machine learning techniques to help redefine the landscape of digital healthcare. The goal is to facilitate real progress in the field of mental health by utilizing the vast amount of data available from mobile technology to generate practical insights that can revolutionize the diagnosis and treatment of mental disorders.