Danielle Perszyk is a cognitive scientist at Amazon’s AGI SF Lab, focusing on developing AI agents for digital and physical environments. She holds a PhD from Northwestern University and has previously worked on AI initiatives at Adept and Google. Her session at TC Sessions: AI will explore how founders can leverage foundational models to scale AI effectively. Attendees can benefit from her insights and save up to $600 on tickets.
Key takeaways:
- Danielle Perszyk, leader of Amazon AGI SF Lab’s human-computer interaction efforts, will speak at TechCrunch Sessions: AI on June 5 at UC Berkeley’s Zellerbach Hall.
- The event offers a limited-time ticket discount, including over $300 off and 50% off a second ticket for a plus one.
- Perszyk will join a panel with Logan Kilpatrick and Jae Lee to discuss strategies for startups to build and scale using AI foundation models.
- Danielle Perszyk is a cognitive scientist with a PhD from Northwestern University and has contributed to AI initiatives at Adept and Google.