How do you bridge worlds as different as quantum research and AI product building?

For Dvir Zagury-Grynbaum, the answer lies in curiosity. Still an undergraduate in physics at the University of Waterloo, Dvir has already worked at the Perimeter Institute, led AI design teams, and built tools that personalize decision making.

His project thersona.com learns from its users to help with everything from remembering birthdays to suggesting the right restaurant. He’s also applying causal inference and AI to diabetes management, helping people run “what if” simulations of their blood glucose hours into the future.

In this special Back to School episode of Artificial Insights, Daniel and Dvir explore how quantum foundations connect with causal inference, why personalization raises important privacy questions, and how AI can be designed to reflect the way humans actually operate.

🔑 What You’ll Learn in This Episode

• ✅ How quantum foundations overlap with causal inference
• ✅ How causal inference can power better health tech
• ✅ What Dvir learned building a personalized AI tool
• ✅ Why privacy and control shape user trust in AI tools

🔗 Resources & Links

• 🤝 Connect with Dvir on LinkedIn: https://www.linkedin.com/in/dvirzagury/
• ✨ Explore Persona: https://thersona.com
• 💻 Learn about Project Goose (agent orchestration): https://github.com/block/goose
• 🌐 Perimeter Institute for Theoretical Physics: https://perimeterinstitute.ca
• ✨ Gluroo (diabetes management startup): https://gluroo.com/
• 📩 Subscribe to the Artificial Insights newsletter for key takeaways: https://manary.haus/podcast/#haus
• 👉 Have a guest in mind? Reach out to Daniel at [email protected]

💬 Thinking about the future? Share this Back to School Special with someone who’s curious about how today’s students are shaping tomorrow’s AI.