R · SHINY · HIERARCHICAL MODELS
Health, city by city
An interactive exploration of U.S. health data, combining visualization with hierarchical modeling.
Explore the code ↗Data science · Experimentation · Applied ML
Turning evidence
into better decisions.
I’m Mingjie, a data scientist working at the intersection of experimentation, personalization, and machine learning. I enjoy making complex questions easier to understand—and building useful things along the way.
Bayesian experimentationPersonalizationApplied machine learningData storytelling
A few things I’ve built
Selected projects
PYTHON · EM · GIBBS SAMPLING
Finding hidden topics
An implementation of Latent Dirichlet Allocation to uncover structure in collections of text.
Explore the code ↗R · SHINY · NEW YORK TIMES API
A better way to browse news
A date-based article discovery tool built around the New York Times API.
Explore the code ↗Ideas, explained
Selected writing
Experimentation · 2022
Statistics · 2021
Career · 2022
Switching from frequentist to Bayesian A/B testing
Benefits, challenges, and what to expect.
Survival analysis in Squid Game
A familiar story, explored through a statistical lens.
How to interview the company interviewing you
Making the final five minutes of an interview count.
Beyond the notebook
Curious by nature.
I hold a master’s degree in Statistical Science from Duke University, with an earlier background in architectural engineering. My work brings together analytical rigor, practical tools, and clear communication.
I also write about data science and enjoy hiking, traveling, museums, and finding new ways to see the world.
Let’s connect
Good work starts with a conversation.
For professional connections and conversations about data science.