We partnered with the client’s data science and software engineering teams to design and build a platform to use machine learning to improve the assessment of patients with depression and anxiety. We engineered features from time series of audio and video data, via a mobile app, to train a model for predicting clinical outcomes. Improved quantification via behavioral biomarkers will enhance the stratification of patients for trial enrollment and accelerated assessment of therapeutic response.