Kenny Zhang
Applied Scientist II at Amazon
Seattle, Washington, United States
Summary
👤
Senior🎓
Top SchoolKenny Zhang is an Applied Scientist II at Amazon with eight years of experience applying causal inference and machine learning to real-world problems. He holds a PhD in Statistics from the University of Washington, where his work spanned causal sensitivity analysis, gene regulatory networks, and large-scale data processing. Kenny has moved models from research to production—e.g., shipping a time-series forecasting solution at Databricks using iTransformer and PySpark—and has internship experience across Google and Comcast. His academic projects include building TCR databases and ATAC-seq pipelines at Fred Hutch, reflecting a strong bridge between computational biology and statistical methodology. Known for teaching a wide range of statistics courses during his PhD, he combines rigorous theory with practical engineering. Outside core roles, he maintains a personal website highlighting his research and code, signaling an ongoing commitment to open dissemination of methods.
8 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at University of WashingtonBachelor of Science - BS, MATHEMATICS AND STATISTICS, 3.94, Bachelor of Science - BS, MATHEMATICS AND STATISTICS, 3.94 at University of California, Santa Barbara
Github Skills (13)
principal-component-analysis10
decomposition10
sampling9
python7
translation2
contrast2
generative2
pytorch1
generative-adversarial-network1
image-translation1
deep-learning1
cyclegan1
dcgan1
Programming languages (2)
Github contributions (5)
nlapier2/PySensemakr
Oct 2021 - Jul 2022
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
Contributions:144 commits, 22 PRs, 25 pushes in 8 months
decompositionpythonprincipal-component-analysispython-implementationsampling
KennyZhang-17/PySensemakr
Nov 2021 - Dec 2024
Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr
Contributions:4 PRs, 123 pushes, 1 branch in 3 years 1 month
python-implementationpython
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