Khoa Doan
Summary
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SeniorKhoa Doan is an Associate Director and researcher with 13 years of experience building scalable ML and big-data systems across industry and academia. He bridges theory and practice in computational advertising, information retrieval, approximate nearest neighbor search, and generative modeling, shipping production platforms and hashing/ANN innovations at Baidu Research and Criteo. As an assistant professor and research lead at VinUniversity and VISHC, he scales algorithms for real-world environments and studies adversarial/backdoor attacks on retrieval systems. His background spans large-scale engineering stacks (Hadoop, Spark, Cassandra, AWS) and hands-on product work such as Verve’s Foot Traffic Index, reflecting both systems and statistical rigor. He holds a PhD from Virginia Tech and a track record of turning advanced research (energy-based hashing, discriminator-free generative estimators) into practical retrieval and ranking solutions. Colleagues describe him as someone who deliberately narrows the gap between elegant theory and deployable, high-performance systems.
13 years of coding experience
Github Skills (8)
github-pages10
jekyll10
jekyll-theme10
ranking10
react9
science9
computer-science9
pytorch1
Programming languages (4)
Github contributions (5)
khoadoan/khoadoan.github.io
Aug 2021 - Mar 2026
A beautiful, simple, clean, and responsive Jekyll theme for academics
Contributions:2 PRs, 207 pushes, 2 branches in 4 years 7 months
responsive-jekyll-themeacademicscleanjekylljekyll-theme
sunbelbd/invisible_backdoor_attacks
Oct 2021 - Mar 2022
Contributions:3 commits, 2 pushes in 5 months
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