Researcher and creator working at the intersection of psychology, behavior change, and applied AI.
My PhD studied the intention–behavior gap and built personalized models from real-world behavioral signals (wearables, phones).
Now I turn that research into practical systems — most notably Pairent, an AI-powered parenting aid for evidence-based feedback on daily interactions.
I also prototype small, playful tools (e.g., Bread-y) and run a training experiment (“16sub16”) as a living lab.
Core: Python • R • SQL • Bash • Git
Modeling/ML: scikit-learn • TensorFlow • NumPy • pandas
Data & Methods: intensive longitudinal / digital trace data • predictive modeling • mixed-effects workflows
Apps/Viz: Streamlit • Plotly • Shiny • Tableau • p5.js
Workflow: LaTeX • Markdown • Airtable
AI Tooling: Cursor • Claude / Claude Code • OpenAI / Codex (incl. API integration)