I am a Postdoctoral Research Fellow at the NIH/NIDA. I work in the Technology and Translational Research Unit. We research substance use disorders and how we can predict behavior based on social media posts, sensor data, and biometrics.

I was a PhD student in the Media, Technology, and Society program, with a focus on Human-Computer Interaction. My dissertation, Predicting Social Dynamics in Interactions Using Keystroke Patterns, looked at how we can understand a person's underlying motivations based on the way they typed.

My overall interest is to better understand user experience. I approach this by:
  • Quantifying user behavior, breaking an experience into discrete metrics
  • Combining my findings with quaitative self-reports, to understand how an objective reality matches up against subjective opinions
  • Grounding my findings in cognitive science, to understand a user's motivations and intents
  • Putting it all together and making beautiful (and intuitive) visualizations
I use this toolkit to research and improve user experiences (UX), such as interactions in remote healthcare, chatbot experiences, and better integrating humans into the AI experience.

You can learn more about me here, or about my current research here. My infrequently updated blog has some tutorials and strong opinions.