Daniel Muise

Head Scientist

Outset

Daniel Muise is Head Scientist at Outset, where he leads research and development on frontier methods for human-subjects research, including LLM-based digital twins of humans. He holds a PhD from Stanford University focused in human-computer interaction, and was previously the founder and CEO of a venture-backed consumer market research startup.

Sessions

Oct 27

2:45 PM - 3:05 PM PDT

Red Stage

DEMO: Simulation Accuracy is a Data Design Problem, Not a Model.

Research leaders see an opportunity to extend customer insights across domains, teams, and modalities—and begin simulating the future. But synthetic data deserves scrutiny. The Outset team will explain how Digital Twins are created, grounded, evaluated, and refreshed, and share innovative ways customers are using them.

Key Takeaways:

1. The difference between synthetic data, simulated personas, and digital twins

2. How to create digital twins, grounded in 1:1 humans

3. When to run research with humans vs. with digital twins

Also speaking

Jonathan Feldman

GTM Customer Lead, Outset

Speaker

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