Hi, I’m Annie! →

I’m a narrative-driven designer specialized in data visualization and branding.
I turn complex information into stories that are clear, engaging, and visually bold.

Fluidnotes: Gender & Fragrance

Thesis for Parsons MS Data Visualization
Guided by Sam Lavigne & Matias Pina

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Github

What smells “feminine” or “masculine” isn’t chemistry — it’s about culture, time, and storytelling. They change — just like our ideas of gender. My thesis, Fluidnotes, maps over 25,000 perfumes and 100 years of gender history to explore how fragrance culture reflects - and sometimes challenges - our evolving understanding of gender.

Using machine learning and computer vision tools, this project was able to analyze 250+ vintage advertisements, map fragrance notes into categories, and connect visuals to scent compositions. While the dataset does not represent the entirety of the global perfume market, it covers a broad span to reflect the Western industry’s dominant trends.