Hugh Chen
Machine Learning Engineer at Uber
Berkeley, California, United States
Summary
👤
Senior🎓
Top SchoolHugh Chen is a machine learning engineer based in Berkeley with a decade of experience bridging research and production, currently building forecasting and explainability solutions at Uber. He recently completed a PhD in computer science focused on explainable AI and ML for healthcare, and previously led explainability coursework and research at the University of Washington. At Uber he embeds time-series data into scalable models and advises platform teams on practical XAI design, while his Google internship work produced tools for tractable model explanations and sample-level attribution techniques. Comfortable moving between research, teaching, and production engineering, he has applied probabilistic models and deep autoencoders to real-world forecasting and health applications. Known for translating nuanced academic methods into production-quality systems, he brings both rigorous statistical training and product-focused pragmatism to ML problems.
10 years of coding experience
6 years of employment as a software developer
University of California, BerkeleyMaster's degree, Statistics, Master's degree, Statistics at University of Washington
Github Skills (15)
xai10
machine-learning10
shapley10
deep-learning10
shap10
gradient-boosting10
readable9
interpretable-machine-learning9
lime9
fairness-ml8
machine-learning-models8
python7
xgboost1
data-science1
feature-selection1
Programming languages (3)
Github contributions (5)
HughChen/HughChen.github.io
Aug 2015 - May 2023
Contributions:109 pushes, 1 branch in 7 years 10 months
HughChen/its_blog
Jan 2020 - May 2022
Blog post explaining the algorithm behind interventional tree shap
Contributions:1 review, 65 commits, 2 PRs in 2 years 4 months
blog-postmachine-learningshap
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