About

Hi, I’m Gurusha!

Mixed-methods UX researcher and program lead. At Apple I study how people use voice, gesture, and on-device AI, and I run the data programs that turn what we learn into what the model learns.

Gurusha Raskar smiling in front of a framed sign on a black and white striped wall reading: if you want to exceed your expectations you should definitely think outside the box.

How I CAN help YOU

Bring me in for the research, the program, or both

01

Research that de-risks AI decisions

Mixed-methods work on how people trust, adopt, and hand control to AI. Evaluation, study design, ground truth for models that meet real humans.

02

Programs that ship research at scale

Study protocols, data-collection standards, and participant operations across countries and languages. What the team learns becomes what the model learns.

03

Strategy teams can act on

Research turned into roadmaps for Fortune 500 clients and AI teams. Executive readouts that end with a choice, not a summary.

Off the clock

Three things I’ll talk about for too long

Ballet, and any excuse to dance

Trained in ballet, and I still take any excuse to dance. It is where precision and joy live in the same hour.

1,700+ days of French

A Duolingo streak kept partly on principle: I’d rather meet the world in its own words than let a model translate it for me.

Down the microplastics rabbit hole

Reading my way through what plastic actually does once it leaves the house, and swapping one habit at a time. Some weeks go better than others.

Cover of AI 2041 by Kai-Fu Lee and Chen Qiufan

Currently reading

AI 2041, by Kai-Fu Lee and Chen Qiufan

Ten stories set in 2041, each one followed by the analysis behind it. The chapter on self-driving cars is the one I keep coming back to.

Mixed-methods research and the AI data programs behind it.

© 2026 Gurusha Raskar · MBA in Marketing · M.S. in Human-Computer Interaction, AI specialization