Scaling COVID public behavior change and anti-misinformation

This github repository contains the code for the chatbot Jody that is created for the thesis project: Goal setting dialogue for physical activity with a virtual coach.

Code base for "Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health" (CHI' 25)

ReflectDeck helps men build self-awareness through structured reflection. Track what you’re thinking, how it impacts how you feel and act, and use CBT-inspired exercises to challenge distortions, reframe narratives, and make better choices.

The AI bouncer for your browser. Chrome extension that auto-closes distracting tabs before you scroll them. Claude-powered.

An interactive experience where you work through real workplace scenarios as a consultant. You'll diagnose why change efforts stall — and discover a pattern that explains most of them.

AwareFlow™ — A privacy-first iOS app that detects unconscious audible habits like sniffing and throat clearing using on-device machine learning. Private nudges help you notice before someone else points it out. No audio ever recorded.

Virtual coach Mel that proposes preparatory activities for quitting smoking and becoming more physically active as well as activities that are meant to persuade people of the usefulness of certain competencies for quitting smoking.

Right-moment trigger router for personal behavior change, built on the Fogg Behavior Model

A simple digital health prototype for tracking walking behavior patterns.

Humorous Android food-delivery deterrent app built with Flutter + AccessibilityService.

A context-aware timing optimization prototype that adapts micro-action prompts based on user feedback, health constraints, and response patterns.

Replication files for "Simple dietary substitutions can reduce carbon footprints and improve dietary quality across diverse segments of the US population"

A digital health prototype for AI-assisted behavior intervention design using transparent, context-aware recommendation logic.

A responsible AI evaluation prototype assessing simulated health behavior suggestions for safety, feasibility, usability, and personalization.

A digital health data science prototype exploring how contextual signals may predict walking adherence using simulated data.

20 hands-on labs focused on human risk engineering, security awareness, culture measurement, training effectiveness, governance, and ROI modeling.

Virtual coach Kai that proposes preparatory activities for quitting smoking and becoming more physically active with possible human support between sessions.

Chatbot for persuading smokers to use physical activity as an aid for quitting smoking.