Behavioral metrics from sensor data
Turn passive phone and wearable streams into interpretable features that track mood, well-being, and risk.
independent research scientist · digital health & behavioral AI
Quantitative psychologist and data scientist. I build the sensing, models, and measures behind digital mental-health and well-being products.
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// what I do
Turn passive phone and wearable streams into interpretable features that track mood, well-being, and risk.
Protocols, surveys, and event-triggered sampling that produce data you can trust, then the analysis to read it.
Android apps for passive tracking and in-the-moment surveys, with R Shiny dashboards on top.
Prototype generative-AI assistants, like one that helps people manage their screen time and relationship with their phone.
// selected work
As research lead, I built new behavioral metrics from human-phone interactions to monitor risk for severe depression and anxiety, and helped set data science strategy across teams.
Peer-reviewed paper →I own the statistical side of a research program: study design, data collection, analysis, and reporting.
An Android app that logs app use, asks for quick mood check-ins, and shows people whether the two move together. Everything stays on the phone.
Explore SelfTrack →// working together
A focused engagement to pressure-test your measurement strategy, study design, or model before you build on it.
A defined project: a sensing pipeline, a behavioral metric, a dashboard, or an AI prototype, delivered and documented.
Part-time research lead for your team, setting the data science strategy and mentoring along the way.
// background
// open source & research
Simulate an intervention and see how it spreads through a person's emotion network.
install.packages("pompom")
CRAN page →Track your app use and mood, then see whether they move together. Data stays on the phone.
android · data stays on-device
Explore →Yang, Albert, Molloy & Ram · advances.in/psychology
read →Yang, Knights, Bangieva & Kambhampati · JMIR Formative Research
read →Yang, Ram, Molenaar & Cole · Multivariate Behavioral Research
read →Yang, Ram, Robinson & Reeves · CHI '19 Late Breaking Work
read →Yang, Ram, Lougheed, Molenaar & Hollenstein · Developmental Psychology
read →Ram, Yang, Cho, Brinberg, Muirhead, Reeves & Robinson · Journal of Adolescent Research
read →Reeves, Ram, Robinson, et al. · Human-Computer Interaction
read →Yang, Ram, Gest, Lydon-Staley, Conroy, Pincus & Molenaar · Complexity
read →Full academic profile: the research version of this site →
// input
Tell me the problem. I'll tell you honestly whether the data can answer it.
> vwendy@gmail.com