Kenneth Lee
Data Scientist Intern
West Lafayette, Indiana, United States
Summary
👤
Senior🎓
Top SchoolKenneth Lee is a PhD candidate in Electrical and Computer Engineering at Purdue with nine years of applied data science experience focused on causal inference and decision-making. He has interned at Amazon, Genentech, Bayer, and Experian, translating cutting-edge causal discovery and heterogeneous treatment effect methods into domain impact across manufacturing, agriculture, biotech, and finance. Kenneth combines strong statistical foundations (MS Statistics, UC Davis) with practical engineering skills—building data pipelines, visualizations, and automated dashboards—and has taught and led teams in large undergraduate courses. Notably, his research blends observational and interventional causal methods with active learning to prioritize experiments, a theme he has put into practice across internships and university research projects.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at University of California, DavisDoctor of Philosophy - PhD Electrical and Computer Engineering, Doctor of Philosophy - PhD Electrical and Computer Engineering at Purdue UniversityBachelor of Science - BS Pure Mathematics Computer Science, Bachelor of Science - BS Pure Mathematics Computer Science at Brigham Young University–Hawaii
English, Chinese, Chinese
Github Skills (67)
prediction-model10
classification-algorithm10
causal-discovery10
causality10
linear-models10
principal-component-analysis10
causal10
graph10
causal-inference10
discovery10
nonlinear9
controlling9
linear-regression9
graphical-models9
statistics9
Programming languages (9)
Github contributions (5)
cmu-delphi/covidcast-modeling
Sep 2020 - Jan 2021
Data analyses surrounding Delphi's COVIDcast effort.
Contributions:54 commits, 5 PRs, 27 pushes in 4 months
effortdelphianalysesdata-analysescovidcast
kenneth-lee-ch/kenneth-lee-ch.github.io
Aug 2018 - Aug 2023
Contributions:188 pushes, 1 branch in 5 years 1 month
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