Dat Ngo
Computer Vision And Machine Learning at Genius Sports
Lausanne, Vaud, Switzerland
Summary
👤
Senior🎓
Top SchoolDat Ngo is a computer vision and machine learning specialist with 11 years’ experience applying advanced CV techniques—SLAM, 3D reconstruction, body and hand tracking—and numerical optimization to production software. He holds a PhD in Computer Science from EPFL and an MSc in Artificial Intelligence, and blends deep academic rigour with extensive C++ object-oriented engineering. Currently at Genius Sports he builds player tracking, mesh and pose modeling pipelines for live sports, turning research-grade algorithms into robust systems. Comfortable across image processing, multiple-view geometry and AR, he’s known for bridging theory and production code in performance-critical applications. Based in Lausanne, he brings a rare mix of research depth and hands-on software craftsmanship to real-time vision problems.
11 years of coding experience
Master of Science (M.Sc.), Artificial Intelligence, Master of Science (M.Sc.), Artificial Intelligence at Vrije Universiteit Amsterdam (VU Amsterdam)Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at Ecole polytechnique fédérale de LausanneBachelor of Science (B.Sc.), Information Technology, Honours programme, Bachelor of Science (B.Sc.), Information Technology, Honours programme at Vietnam National University, Hanoi
English, French
Stackoverflow
1reputation
0reached
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Github contributions (2)
tdngo/tdngo.github.io
May 2015 - Apr 2018
Contributions:2 PRs, 55 pushes, 3 branches in 3 years
full-pageresponsive-jekyll-themecleanjekylljekyll-theme
tdngo/deformabletracker
Mar 2015 - Sep 2015
Contributions:6 commits, 5 pushes, 1 branch in 6 months
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