Helen He — Hero (overlay)

Helen He  ·  Designer & Software Engineer

Making intelligent systems clearer, kinder, and easier.

I work across consumer products, AI, and technical systems, especially where people need to understand what the technology is doing and stay meaningfully in control.

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Header artwork: Pillars of Memory, an original composition rendered with Midjourney.

Keyword Drift — Marquee
A Designer's Job — Statement

A designer’s job is not to add. It is to remove everything between a person and what they came to do.

Clearer, Kinder, Easier — Triad
01 · CLEARER

Make complexity legible

Structure information so the right thing is obvious at a glance, even when the system underneath it isn’t.

02 · KINDER

Designed for humans

Systems should meet people with patience: forgiving of error, honest about state, generous with guidance.

03 · EASIER

Reduce friction, not understanding

Remove unnecessary effort between intent and action without hiding the information or control people actually need.

Affiliations — Logo Bar

Previously at

Stanford
Apple
Amazon
Boeing
Wells Fargo
NASA


Featured Work

  • NASA Playbook Constraints

    Making invisible scheduling rules readable, visible, and actionable for mission planning.

  • NASA Playbook Iconography

    Redesigning a visual language for faster recognition in a dense NASA scheduling tool.

  • Spotify (Re)Wrapped

    Helping listeners rediscover the songs they saved, loved, and accidentally buried.

Side Explorations

Experimental Systems

  • Into the Poppyverse: An Interactive Map

    A spatial interface for exploring relationships across a nonlinear fictional universe.

  • The Engine Codex

    An experimental archive for organizing a large speculative taxonomy of engines, drives, entities, and related phenomena.

  • Latent Exploration

    Coming soon.

About

Helen He is a designer and software engineer interested in how people understand and interact with increasingly complex technology.

Her work spans consumer products, AI, aerospace, and experimental systems, with a particular interest in interfaces that make system behavior, state, and uncertainty easier to understand.

At Stanford, she studied computer science, human-computer interaction, AI, and architectural design, a combination that left her suspiciously interested in both the interface and whatever complicated machinery is hiding behind it.

In quieter hours, she likes to illustrate and photograph stray light patterns on walls.