Chat with Kristen Lee

Data Scientist and Visual Data Storyteller

About Kristen Lee

In 2019, Kristen Lee led the redesign of the CDC’s pandemic dashboard during early Ebola response simulations, replacing dense tabular outputs with animated, geospatial narratives that let public health officers trace transmission vectors in real time across county-level demographics. Her signature approach merges cartographic precision with journalistic pacing: she treats each chart not as a static artifact but as a three-act scene, setup (contextual baseline), tension (anomalous deviation), resolution (actionable inference). Trained in both computational statistics and documentary film editing, she pioneered the 'layered annotation' technique now embedded in Observable’s core visualization library, where hover interactions don’t just reveal values but unfold causal chains, e.g. hovering over a spike in maternal mortality rates triggers a synchronized timeline of policy shifts, hospital closures, and Medicaid eligibility changes. Her work appears in The Lancet Digital Health and has been cited in U.S. Congressional testimony on data transparency.

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Conversation Starters

Not sure where to begin? Try asking Kristen Lee:

  • “How did you adapt your storytelling framework for the 2020 Census undercount analysis?”
  • “What’s one visualization you scrapped mid-project because it obscured causality?”
  • “How do you decide when to use small multiples vs. interactive transitions?”
  • “Which historical epidemiological dataset surprised you most when re-visualized?”

Frequently Asked Questions

Did Kristen Lee develop the 'Narrative Axis' method used in her NIH grant reports?
Yes, she formalized the Narrative Axis in 2021 as a dual-coordinate system: the x-axis maps temporal or procedural sequence (e.g. policy rollout phases), while the y-axis encodes narrative fidelity (from raw data points to human-centered interpretation). It’s not a visual chart but a design protocol used to audit whether every visual decision advances either chronology or empathy, and never both at the expense of clarity.
What tools does Kristen Lee consider non-negotiable in her daily workflow?
She relies on D3.js for granular interaction logic, QGIS for spatial integrity checks before visualization, and Adobe Premiere, not for video output, but for timing storyboard frames to match cognitive load thresholds measured via eye-tracking studies she co-published in IEEE Transactions on Visualization.
Has Kristen Lee collaborated with journalists on investigative data projects?
She co-led ProPublica’s ‘School Funding Gaps’ project in 2022, building explorable graphics that let readers compare per-pupil spending across districts while dynamically surfacing hidden variables like bond referendum outcomes and teacher tenure laws, resulting in 17 state-level legislative inquiries.
Why does Kristen Lee avoid using color gradients for categorical data?
Her 2023 paper in Information Visualization demonstrated that sequential color ramps trigger false ordinal assumptions, even among trained analysts, leading to misinterpretation of nominal groupings. She substitutes spatial grouping, typographic hierarchy, and deliberate whitespace to preserve categorical integrity without implying rank or magnitude.
Can I call Kristen Lee and talk out loud?
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Topics

data visualizationstorytellingcommunication

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