Yuanjie (Tukey) Tu, PhD
Research scientist, transportation researcher, and community advocate. An adventurous soul who was raised in a small town in Jiangxi, China, studied in Shanghai, Beijing, and Shenzhen, and currently lives in Seattle, US.
I completed my PhD in Transportation Engineering at University of Washington, where I focused on modeling sustainable travel behaviors with deep learning and statistic models. Additionally, I'm a strong advocate for data visualization techniques that support effective communication and exploration. Check out my portfolio here.
In my free time, I like to build communities, go on hikes/backpacking trips with friends, play piano, draw, and read.
I am an incoming research scientist at Meta! You can find my CV and Resume here.
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Computational Expertise
Who is proficient in machine learning programming and statistics
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Creative Scientist
Who bridges across AI, data science, and sustainability
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Team player
Who excels at leading, collaborating, and presenting data science projects
D3.js tutorial collection
Embark on a journey into the world of data visualization with our comprehensive D3 tutorial series!'
Portfolio
Effect of trip attributes on ridehailing driver trip request acceptance
A generalized additive mixed model was estimated to explore factors that impact ridehailing driver trip request acceptance, relying on 200 survey responses in Seattle, US.
Leveraging deep learning for electric vehicle (EV) charging demand prediction
Predicted electric vehicle (EV) charging demand with probabilistic deep learning time-series models hosted on AWS Sagemaker
Understanding working time and relocation choices of ridehailing drivers
Identified four types of ridehailing drivers and jointly modeled driver working time and relocation choices using a 200 survey responses in Seattle, US.
How do Observable Users Decompose D3 Code? An Exploratory Study
Acquired and analyzed 560 D3.js visualization programs published on Observable and identified three distinct strategies for decomposing D3 programs.
Effects of trip-level characteristics on autonomous vehicle ownership: A U.S. analysis
Developed an integrated choice and latent variable model linking trip- and consumer-level characteristics to AV ownership choices.
More portfolio projects here.
Contact me.
yuanjietu@gmail.com
(206) 294-8003
Seattle, WA, 98015
