Hello! I'm Shana :)

Designer, Developer, Storyteller.

I am dedicated to understanding user needs, creating effective solutions, and engineering all aspects of the user experience and interface. Let's talk!

design

Designer

I apply human-centered design thinking to create intuitable and purposeful products.

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Skillsets

  • Needfinding
  • Concept models & mapping
  • Rapid prototyping
  • Digital interface design (UI, UX, Figma wireframes!)
  • RITE usability testing
  • Data visualization
  • Game design
  • 3D CAD modeling, laser cutting, & more!
develop

Developer

I bring ideas to life with modular and well-tested code.

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Favorite Tools

  • JavaScript (React, Node, Angular, D3)
  • HTML & CSS
  • Python (Django)
  • AWS (DynamoDB, S3) & Google Firebase (Cloud Firestore)
  • Game engines (Twine, Ren'Py, Unity)
  • Git (GitHub, GitLab)
  • Whatever I need, I can learn!
story

Storyteller

I see the world through stories, and I love telling them too.

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Interest Areas

  • Creative writing (speculative fiction)
  • Narrative-driven games (ludonarrative harmony!)
  • Character design & worldbuilding
  • User journey maps & design docs
  • Data analysis & journalism
  • Reviews & reflections
  • And so much more!

My Projects

with what eyes, an interactive fiction

with what eyes: an interactive speculative fiction on cyborgs, generative language models, and ethics

In three weeks, I created a narrative-based game, and prequel to my thesis e.l.i.z.a., that examines the impact of human augmentation and generative language on politics, especially with our preexisting human biases in perception toward queer and feminine figures.

You play as Eliza, a self-effacing former Silicon Valley tech worker, who is hired to create a compelling persona for Ada, a lawyer and cyborg celebrity who hopes to run for office and distance herself from the shadow of her extremely wealthy husband. Eliza and Ada embody very different notions of the "cyborg" (a networked being), and while the game begins as an adversarial interview, it progreses into an "understanding" of how every body is a battleground.

“With what eyes" do we claim to see?

Artist's statement / Play the game here!

corporate vision, a game to teach

corporate vision: a serious game on surveillance capitalism

In a two-week sprint, my team and I created a competitive social game that teaches how corporations can use customers’ digital footprints to construct personas for more accurate targeted advertisements, contributing to the rise of what Professor Shoshana Zuboff calls “surveillance capitalism.” Players take turns as corporations that pitch ads based on "digital footprint" cards (like old receipts) to a customer who judges which advertisment would pique their interest.

We aimed to raise awareness on corporate data-mining, model the predictive algorithmic system for "speculation on human futures," and inspire conversations on digital surveillance and its inextricable ties to capitalism.

Artist's statement / Print and play our game!

Civic Digital Fellowship at the U.S. Census Bureau

Civic Digital Fellowship at the U.S. Census Bureau

Over ten weeks, plus a six-week part-time contract extension, I solo designed and developed a full-stack automated program to load in census survey data and process tabulations for the project’s deliverable with Django, Angular, HTML/CSS. A full expansion of this foundational code that helps process the allocation of 300+ million dollars to state and local governments will reduce analysts' manual work by 60-70%.

Check out my demo day presentation!

vocab learning AI app

Wanderlust: explore a new route with whimsy

Over eight weeks of designing / developing with three teammates in spring 2021, we created Wanderlust, an iOS app that offers a unique outdoor exercise experience encouraging you to explore your local area. The app accepts a user's location and a desired distance, and will generate a semi-random route for the user to take for their run or bike ride! The app will also keep track of your past activities as well as the routes of other community members, while providing insightful statistics about the routes and your habits.

We implemented our app with React Native and Firebase, with the Google Maps and Directions API to support our novel route generation "8-segmented legs algorithm" (map 8 possible vectors of 1/4 distance from the origin, divide each vector with 7 waypoints, assign a score based on length, and return the best vector and the best orthogonal vector leading from the origin; connect their two non-origin endpoints in the final route for a loop).

Check out our slides write-up!

ArtWIP abstract art game

ArtWIP: Hue are you? A journey through abstract paintings

Over four weeks of designing / prototyping / testing with four other teammates in spring 2021, we created a narrative-based walking simulator game that challenges the standard way to experience an abstract art painting, in which the player navigates the world of the canvas. Inspired by art movements such as Abstract Expressionism and De Stijl, we intend to emphasize the experience of being and moving within a space.

With art pieces such as Kandinsky's "Several Circles," the soothing soundtrack and narrative fragments further cohere the game and encourage player self-reflection and reexamination of types of space as they journey through the painting as a tiny blob. We hope art enthusiasts and casual gamers alike would regard this game as a novel, digital way to explore abstract paintings and the meditative emotions the original artworks evoke.

Check out our final case study write-up here, which describes our ideating / prototyping / playtesting!

Play the prototype demo here, implemented in Unity!

MoMA data viz

NY Museum of Modern Art at a glance: exploratory data analysis

I have always wanted to visit the New York Museum of Modern Art, and I wondered what the metadata can reveal about the collection at a glance. I used the MuseumofModernArt github repo that I filtered down to 130,000 artworks, with a subset of 2366 paintings, during fall 2020.

Guiding questions: 1) Which years are represented by artwork, and what is the delay for the MoMA acquiring pieces? 2) Who are the painters with the most work at MoMA, what is their nationality and gender breakdown, and has female representation changed across time? 3) Lastly, how has modern art’s dedication to experimentation manifested in formal elements like width and height?

Major insights: Since the early 2000s, MoMA acquires more paintings per year than there are collection paintings created in that year. Approximately 49% of paintings are created by Americans; meanwhile, 87% of signed, non-group paintings are created by men as compared to 13% by women, which is slowly changing. Also, MoMA paintings tend to be wider than taller, even the grander ones.

I used Trifacta Wrangler to clean extraneous symbols and organize attributes, and visualized my results in Tableau.

Check out my data exploration here!

poetricks poetic data viz

poetricks: visualizing election results as poetry, "Rupi Kaur Race Calls"

Experimental project in React exploring how to use text-only poetic techniques, such as alignment, indentation, and repetition, to visualize election results, inspired from the work of poet Rupi Kaur and visual artist Christopher Wool, and my internship and mentors at The Washington Post.

Rupi Kaur Race Calls: Instapoetry is meant to be accessible and easy to read, and similarly, I used AP's 2018 House results to experiment with indentation (left: DEM win, right: GOP win) and streamlined the presentation of information with indented, widely-spaced lines so viewers could quickly tell which party won the seat.

Black Box Big Board: I drew from Christopher Wool's work with framed bold, large text and repeated elements to present 2016 presidential results as a mapping of 20 DEM states against 30 GOP states, with indented states (left: called for DEM, right: called for GOP) for a quick look at the nation at a glance.

Check out my slides exploration here!

goodreads all-star chart

Great reads (and star ratings) with Goodreads: exploratory data analysis with SQL and ML

Interested in how online, user-sourced book reviews can signal what is a "popular" book, I chose to explore what correlates with a higher # of ratings (as a placeholder for popularity, instead of skewed ratings values), using a forked dataset of Goodreads top 10k most-read books up until late 2017. Submitted for a final open-ended project for CS145 (Data Systems and Data Management) in fall 2019.

Insights: An affirmation that author names, established book tags, and # of users that mark the work to-reads correlate with popular books. The proportion of n-star ratings to all ratings also resulted in a lovely visual spread, but were at most suggestive that popular books have a higher proportion of 4-star and 5-star ratings.

I used Google Cloud Platform to run SQL queries and a machine learning logistic regression model for predicting the # of ratings, and I visualized results with Python and matplotlib.

Check out my data exploration here!

sff writeup chart

Hugo and Nebula short stories: exploratory data analysis with NLP

Continuing from my research internship at Literary Lab in summer 2019, I had the opportunity to lead my own mini computational literary criticism study. I searched for changes in themes within 20 years (1999-2018) of Hugo- and Nebula-nominated short stories (corpus of 925k words), which could reflect the evolving composition of the voting population and their literary values (Hugo: voted on by fans, Nebula: by authors).

Major insight: Nebula short stories were more likely to use female-specific pronouns, suggesting a greater range of female-identifying characters, and perhaps the greater inclusivity of these awards (unlike the Hugos, with their Rabid Puppies scandal).

I scraped and cleaned the data with Python, ran several NLP topic models with Mallet, and visualized my results in Tableau.

Check out my write-up here!

opposites attract

Opposites Attract: prototype for a social platform promoting conversations across borders

As part of a UI/UX design project with two other teammates, I designed, prototyped, and ran user testing to create a social platform that connects pairs of Stanford students across the political spectrum to have an anonymous and respectful discussion of their beliefs. Submitted as a final open-ended group project for CS278 (Social Computing) in spring 2019.

This was made with "social bricolage," which means we pieced together a functional set-up from existing platforms, such as Google Forms, Google Docs, anonymous Facebook accounts, and Messenger chats in order to test the real crux of the matter: how can we intentionally design to foster bipartisan political conversations?

Check out the case study here!

Stanford Daily logo

Stanford Daily Mobile App: frontend redesign for user engagement

I helped redesign The Stanford Daily mobile app during my CS independent study for fall-winter 2018-2019, working with faculty advisor Ann Grimes, the emerging Daily tech team, and Daily editors.

I prototyped and implemented a section navigation bar depicting active published writers, and also contributed to user profiles, push notifications, and geo-tagged articles map display.

Check it out on the App Store!

raspberry pi A+

Raspberry Pi A+: bare-metal plant protection program in C

Using the Raspberry Pi A+ and bare-metal compatible sensors, I explored a question that still boggles me, how can we remember to water our plants? I wrangled low-level hardware manuals and implemented a library in C to use soil moisture / temperature / water sensors to output information onto a mini-lcd display. Submitted as a final open-ended project for CS107e (Systems from the Ground Up) in fall 2018.

For nitty-gritty details, this involved writing in near-binary with bit manipulations, as the lcd display was turned on / off in sets of 8 Pi GPIO pins, with timer delays (such as 500 microseconds to signal data transfer).

Check out my code on github, as well as my bare-metal operating system modules. I will forever be astonished at implementing the function printf()!

Casper the Corgi

shanaeh.github.io!

I designed and built this site with React.js and HTML/CSS, along with accompanying tools such as Webpack, Babel, and Express.

More projects are coming soon, and you can check out a few of my projects on github.

Until then, Casper the Corgi wishes you a refreshing day. :)