Youjia Zhou is a research scientist at Meta in San Jose, merging data visualization, topology-based analytics, and machine learning to derive insights from large, complex data. He holds a PhD in Computer Science from the University of Utah and an MS in Statistics from the University of Wisconsin–Madison, complemented by a BS in Statistics from Renmin University. His research focuses on visual analytics for networks, high-dimensional point clouds, and vector/tensor fields, blending interactive visuals with topology-driven analytics for interdisciplinary problems. His industry and academia background includes roles as a Machine Learning Engineer at Meta and a Software Engineer II at Lucid Software, reflecting a balance of research rigor and product-focused engineering. He collaborates across biochemistry, bioengineering, and network science to translate complex data into actionable, scalable insights.
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
Chengdu SHISHI High School
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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