Yiqun T. Chen
Summary
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SeniorYiqun 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.
11 years of coding experience
Github Skills (15)
regression9
open-access8
statistics8
journal8
r7
creative-commons7
academia6
inference5
data-analysis4
bayesian-inference2
machine-learning2
latex2
mcmc2
bayesian-methods1
probabilistic-programming1
Programming languages (4)
Github contributions (5)
yiqunchen/KmeansInference
Apr 2021 - May 2022
Contributions:32 commits, 10 pushes, 3 branches 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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