Yifan Zhu
Senior Data Scientist
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYifan Zhu is a Senior Data Scientist based in Seattle with nine years of experience applying advanced statistical methods to real-world problems, now at Indeed. He holds a PhD in Statistics from Iowa State University and specializes in classification, clustering, dimension reduction, and visualization, bringing rigorous research methodologies to production analytics. His background spans industry and academia, including internships at Meta and research roles that produced hierarchical and mixture models for financial forecasting. Yifan is an active contributor to the Spack open-source ecosystem, adding and maintaining bioinformatics-focused R packages that help researchers deploy reproducible genomic workflows. He teaches and mentors technical learners, having led undergraduate and graduate labs on multivariate analysis and reproducible reporting with R Markdown. Colleagues describe him as a statistically grounded practitioner who blends deep theory with practical tooling to make complex analyses accessible.
9 years of coding experience
4 years of employment as a software developer
mathematics, mathematics at University of California, BerkeleyPhD at Statistics Statstics, PhD at Statistics Statstics at Iowa State UniversityBachelor of Science (BS) Mathematics (Elite Class), Bachelor of Science (BS) Mathematics (Elite Class) at Xi'an Jiaotong University
Chinese, English
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (4)
package-management10
bioinformatics10
r10
rcpp8
Programming languages (4)
Github contributions (5)
spack/spack
Sep 2017 - Aug 2018
A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:175 commits, 177 PRs, 35 comments in 10 months
Contributions summary:Yifan's contributions primarily involve the development and maintenance of R packages related to bioinformatics and genomic data analysis. They updated existing packages, added new versions, created several new packages focused on various aspects of bioinformatics such as data handling, sequence analysis, and statistical modeling. Their work is centered around expanding the functionality and supporting the analysis capabilities of the Spack package manager for handling these scientific tools.
compilerspythonradiussplatformslinux
fanne-stat/RadViz3DExperiments
Oct 2020 - Jun 2021
Contributions:15 pushes, 3 branches in 8 months
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