Yi Ang

Data Visualization Specialist

Vienna, Austria
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Summary

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Senior
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Yi Ang is a Data Visualization Specialist with nine years’ experience crafting award-winning interactive visual stories that blend design, journalism, and AI-driven analysis. Based in Vienna, Yi has built visuals for newsrooms and research institutions—from SCMP and SPH Media multimedia graphics to the Complexity Science Hub—combining front-end engineering with a research background in computer vision and generative models. Their work has earned top prizes from The Pudding, Information is Beautiful, and Digital Media Awards Asia, reflecting a knack for making complex data accessible and compelling. Comfortable shipping end-to-end projects (research, data analysis, design, writing, and code), Yi also brings practical ML experience from NTU, NUS, and industry internships, which informs more robust, interactive visual interfaces. An active portfolio and creator, they bridge visual storytelling and AI in ways that surface subtle patterns audiences often miss.
code10 years of coding experience
job3 years of employment as a software developer
bookGCE 'A' Level Integrated Programme Science Stream, GCE 'A' Level Integrated Programme Science Stream at Hwa Chong Institution
bookBachelor of Science (Honours) Data Science & Analytics with a Minor in Computer Science, Bachelor of Science (Honours) Data Science & Analytics with a Minor in Computer Science at National University of Singapore
languagesEnglish, Japanese, Chinese
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Stackoverflow

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Github Skills (27)

k-means-clustering10
clustering9
computer-vision8
adversarial-machine-learning8
ai8
segmentation8
machine-learning8
semi-supervised-learning8
adversarial-attacks8
javascript8
svelte8
scene-graph8
data-science7
detectron7
linear-transformation7

Programming languages (4)

JavaScriptSvelteJupyter NotebookPython

Github contributions (5)

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yizhe-ang/vi-lab

Aug 2020 - Sep 2021

Contributions:33 commits, 2 pushes in 1 year 1 month
Jingkang50/ICCV21_SCOOD

Aug 2021 - Mar 2022

The Official Implementation of the ICCV-2021 Paper: Semantically Coherent Out-of-Distribution Detection.
Contributions:5 commits, 2 PRs, 1 push in 6 months
coherenticcvmodel-robustnesscomputer-visionood
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