Di Wang
Postdoctoral Researcher at University of Utah
Salt Lake City, Utah, United States
Summary
👤
Senior🎓
Top SchoolDi Wang is a research-focused software engineer and PhD in Computer Science at the University of Utah with nine years of experience building data-driven tools in C++, Python, Java, JavaScript, and MATLAB. Her work blends topological data analysis, large-scale interactive visualization, and machine learning, including designing UIs and JupyterLab extensions for visualizing up to 100 million points. She created a 6,000-tweet dataset and a practical pipeline to help public information officers track public perception and social cues during natural hazards. Past internships at Lawrence Livermore and deep experience with simulation integration highlight her ability to bridge research prototypes and production-ready analysis frameworks. Based in Salt Lake City, she pairs strong teaching experience with hands-on systems development, making her adept at translating complex research into usable tools. An unexpected plus: she balances rigorous technical depth with a playful GitHub bio—天才ですから!
9 years of coding experience
8 years of employment as a software developer
Master of Science (M.S.) Electrical Engineering, Master of Science (M.S.) Electrical Engineering at Georgia Institute of TechnologyThe University of Utah
English, Chinese, French
Github Skills (50)
visualization10
svg10
jupyterlab-extension10
jupyter9
jupyterlab9
charts9
data-visualization9
jupyter-notebook8
html8
cycle8
segmentation7
geometry-processing7
fuel7
keras6
visualizations6
Programming languages (6)
Github contributions (5)
orpheus92/RegulusHD
Oct 2017 - Dec 2017
Contributions:2 releases, 72 commits, 6 PRs in 1 month
multivariatemultivariate-datadata-analysisvisualization
yarden-livnat/regulus
Apr 2018 - May 2018
Contributions:23 commits, 2 PRs, 36 pushes in 1 month
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