Experience & Education

Engineering for AI for Science: systems, visualization and workflows for scientific research.

• Antigravity for Science
• Science visualization and workflows
• Prototyping in new science domains

Led the AIX team, prototyping human-AI experiences.

• Prototypes: Project Astra, Music AI Sandbox
• Tech lead, Google AI Studio starter apps and Build tab (2024–2025)

Built and led the Visualization team, creating tooling for research, safety and interpretability.

• Internal visualization tooling
• Interpretability and evaluation tools
• Published visualizations for AlphaStar and Capture the Flag

Prototyping and tooling for machine learning (TensorFlow, on-device ML).

• TensorFlow graph visualization (Best Paper, IEEE VAST)
• TensorBoard early development and design
• Google Clips: tooling, model visualization and app UI
• Colab: web components and visualization in notebooks
• DeepDream and VR experiments; exhibiting artist in DeepDream: The Art of Neural Networks (Gray Area, 2016)

Data Arts Team: experimental websites, libraries and installations for the web.

• WebGL Globe
• Chrome Experiments
• Team projects including Just a Reflektor, This Exquisite Forest and Unnumbered Sparks

Fluid Interfaces Group: research in machine learning and data visualization.

• Topic modeling and visualization for exploring large document collections
• SpaceMarks: a zoomable workspace that learned from how people arranged their information