Sandra Delgado, PhD

Learning Scientist working at the intersection of AI behavior, pedagogy, and product systems.

I design AI-powered learning systems that scale with trust, clarity, and intent.

What I work on

I work on AI-enabled learning systems at the point where research, product decisions, and long-term behavior intersect.

  • AI-mediated practice, feedback, and assessment systems
  • Prompt and behavior design for production models
  • Evaluation frameworks for AI learning quality and trust
  • Cross-functional decision-making in ambiguous product contexts

How I work

I’m most effective in ambiguous contexts where teams are balancing speed, quality, and trust, and where early decisions about AI behavior have long-term consequences.

In practice, this means:

  • I make tradeoffs explicit early, instead of letting risk accumulate silently
  • I translate learning science, pedagogy, and model behavior into decision criteria teams can actually use
  • I work cross-functionally to align intent, implementation, and evaluation as systems evolve
  • I focus on long-term system behavior and maintenance
  • I prioritize clarity before scale, knowing it’s the highest-leverage intervention

How we might collaborate

I collaborate with teams and organizations that are building AI-enabled learning systems and care about quality, trust, and long-term impact.

  • Strategy and design for AI-powered learning systems
  • Pedagogical and prompt advising for product teams
  • Speaking, panels, or exploratory research on AI in education

Let’s connect

If you’re exploring partnerships, building AI-enabled learning products, or thinking through how pedagogy should shape technology decisions, I’m always happy to exchange ideas.

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