
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.