Ben Dai
Hong Kong, Hong Kong
Summary
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SeniorBen Dai is an Assistant Professor in the Department of Statistics at The Chinese University of Hong Kong, specializing in statistical machine learning with a focus on methods that combine rigorous theory, strong empirical performance, and scalable software. With eight years of research experience that includes a postdoctoral fellowship at the University of Minnesota and a PhD in Statistical Machine Learning from City University of Hong Kong, he bridges applied mathematics and modern ML. His work emphasizes reproducible, production-ready tools as much as theoretical guarantees, reflecting a practitioner-oriented academic approach. Based in Hong Kong, he contributes to the CUHK statistics community and develops methods designed to be both interpretable and computationally efficient.
8 years of coding experience
Stackoverflow
1reputation
0reached
1answer
0questions
Github Skills (73)
python10
statistics10
dice10
hypothesis-testing10
liblinear10
statistical-tests10
xai10
feature-selection10
machine-learning10
statistical-inference10
gwas10
statistical-learning9
nonlinear9
convex-optimization9
loss-functions9
Programming languages (5)
Github contributions (5)
statmlben/rankseg
Mar 2022 - Jan 2023
RankSEG: A consistent ranking-based framework for segmentation
Contributions:24 commits, 4 PRs, 23 pushes in 10 months
segmentationgpu-computingnormal-approximationdeep-learningimage-segmentation
statmlben/dnn-inference
Feb 2020 - Jul 2022
Significance tests of feature relevance for a black-box learner
Contributions:2 releases, 2 reviews, 232 commits in 2 years 5 months
pythonxaistatistical-testsdnnblack-box-testing
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