Tool for measurement of digital biomarkers from video or audio of an individual’s behavior.
The Stanford Screenomics is an open-source Android app framework for capturing real-time digital trace data to support behavioral and health research.
End-to-end behavioral prediction system using digital phenotyping. PyTorch Transformer (MAE 1.18) + Autoencoder anomaly detection. Docker-ready, FastAPI service.
Detect upcoming depressive and manic episodes in patients with bipolar disorder
Real-time AI stress tracker using mouse & keystroke dynamics. Privacy-first, local-only, and 100% offline.
Facial AU dynamics extraction (MediaPipe) + convolutional VAE phenotyping + speech fusion (OpenSMILE) for clinical interview analysis. R²=0.69 on synthetic data.
Analysis of the DynAMoND study
An open-source prototype framework for smartphone-based digital phenotyping
OSRP (Open Sensing Research Platform) - Complete multi-modal mobile sensing for academic research. Built for AWS. Open source.
NLP prediction of real-time suicide crisis states from daily text entries
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