Youjia Zhou is a research scientist and software engineer with nine years of experience at the intersection of data visualization, machine learning, and fairness in ads delivery. With a PhD in Computer Science from the University of Utah and prior degrees in statistics, she builds topology-informed visual analytics systems for complex data such as networks, high-dimensional point clouds, and tensor fields. At Meta she has worked on ads fairness, designing post-processing approaches to mitigate subgroup unfairness, and she has applied her research in collaborative, interdisciplinary projects spanning biochemistry to network science. She also brings hands-on product engineering experience from Lucid Software, translating research insights into user-facing visual collaboration features. Based in San Jose, she combines rigorous academic training with practical engineering to make complex data more interpretable and actionable for scientists and product teams. An understated strength is her ability to couple topology-based analysis with interactive visualization to surface non-obvious patterns in large datasets.
9 years of coding experience
4 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Wisconsin-Madison
The University of Utah
Bachelor of Science - BS, Statistics, Bachelor of Science - BS, Statistics at Renmin University of China
PhenoMapper is an extension of Mapper Interactive, which is a web-based framework for interactive analysis and visualization of high-dimensional point cloud data built upon the mapper algorithm.
Contributions:32 commits, 3 PRs, 23 pushes in 1 year 8 months
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