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)

A Claude skill for applying behavioral psychology and behavioral economics to product and UX design. Behavioral diagnosis, nudge design, intervention frameworks, workshop facilitation, and ethics review. Built for product designers, pms and cross-functional teams.

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.

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

Behavior-intelligence habit tracker. Local-first via Hive, on-device skip-pattern detection, Gollwitzer if-then prompts. Flutter / Dart.

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.

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

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

A simple digital health prototype for tracking walking behavior patterns.

Exploring how habits shape decision quality — building systems that make good judgment automatic

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.

Kai - adaptive focus coach with a voice agent and research-grounded timing engine.