Yiqun Chen
Statistician
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolYiqun Chen is a statistician with a decade of experience developing rigorous, novel methods for analyzing large, complex datasets, evidenced by multiple first-author publications. Trained at UC Berkeley (CS, Statistics, Chemical Biology) and pursuing a PhD in Biostatistics at the University of Washington, Yiqun bridges statistical theory, machine learning, and domain science. Practical experience spans applied roles at Waymo and A9, where they tackled causal inference for autonomous planning and built deep-learning NLP models while shaping evaluation pipelines from behavioral data. They have a strong collaborative track record with public health, biological, and computer science stakeholders and a knack for turning messy, real-world data into auditable analyses. Notably, Yiqun combines academic rigor with product-aware implementation—curating train/test datasets at scale and drafting statistical documentation to influence cross-team decisions.
10 years of coding experience
1 year of employment as a software developer
Doctor of Philosophy - PhD, Biostatistics, Doctor of Philosophy - PhD, Biostatistics at University of WashingtonBachelor's Degree, Computer Science, Statistics, Chemical Biology, Higher Honors, Bachelor's Degree, Computer Science, Statistics, Chemical Biology, Higher Honors at University of California, Berkeley
Stackoverflow
41reputation
710reached
1answer
0questions
Github Skills (25)
r-package8
journal7
regression7
open-access7
dictionary6
statistics6
python6
academia6
creative-commons5
data-science4
inference4
linear-models4
data-analysis4
r-language3
r-programming3
Programming languages (4)
Github contributions (5)
yiqunchen/KmeansInference
Apr 2021 - May 2022
Contributions:32 commits, 7 pushes in 1 year 1 month
yiqunchen/yiqunchen.github.io
May 2016 - Jan 2017
Contributions:32 pushes, 1 branch in 8 months
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