Tag: Ian Kim

Software Reference Architecture for Real-Time Mobile Digital Phenotyping: Evaluation of System Designs

We propose the Stanford Screenomics platform as a software reference architecture that uses a modular design to integrate parallel processing and edge computing, enabling scalable, real-time digital phenotyping on smartphones...

The Screenome: Unlocking the New Science of Everyday Life

"Health science has mapped our genome, microbiome, and environment; but everyday behavior has remained largely invisible. This post explores the "Screenome," a new frontier that captures the digital traces of daily life and opens a powerful lens on how behavior shapes health."

An open-source platform for multimodal digital trace data collection from smartphones

We developed an open-source platform that enables in situ capture of multimodal digital traces from smartphones (for example, moment-by-moment capture of screenshots, application usage logs, interaction histories and phone sensor readings)...

What Your Phone Knows Could Help Scientists Understand Your Health

"Stanford scientists have released an open-source platform that lets health researchers study the “screenome” – the digital traces of our daily lives – while protecting participants’ privacy."

Ian Kim

Postdoctoral Scholar Psychology Precision Medicine Stanford University Ian Kim (he/him/his) is a postdoctoral fellow in Psychology, specializing in computational science and systems engineering. His current research focuses on modeling and guiding individual- and context-specific health trajectories across diverse clinical populations by integrating dynamical systems theory with multi-dimensional neural networks. His long-term goal is to develop… Read more Ian Kim