Yenson Lau

Senior Applied Scientist at Qualtrics

Old Toronto, Ontario, Canada
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Summary

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Senior
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Yenson Lau is a Senior Applied Scientist in Toronto with 11 years of experience building ML and LLM-driven solutions and a 7+ year focus on applied AI. He has moved models from research to production across startups and enterprise settings, delivering multi-million dollar savings with explainable XGBoost pipelines and contributing to deep learning projects like GNN-based drug repurposing and federated learning. His background blends rigorous academic research in signal processing (published at CVPR/ICLR/Nature Communications) with hands-on engineering in Scala/Java/Hadoop/SQL, letting him bridge theory and production constraints. Currently at Qualtrics after recent ML engineering roles, he’s equally comfortable authoring practical toolkits as he is designing novel algorithms—an engineer who pairs experimental rigor with measurable business impact.
code11 years of coding experience
job8 years of employment as a software developer
bookBachelor of Applied Science (B.A.Sc.) with Honours, Electrical Engineering, Bachelor of Applied Science (B.A.Sc.) with Honours, Electrical Engineering at University of Toronto
bookMaster of Philosophy - MPhil, Electrical Engineering, Master of Philosophy - MPhil, Electrical Engineering at Columbia University
bookIB Diploma, HL Mathematics, Physics and Chemistry, IB Diploma, HL Mathematics, Physics and Chemistry at Shatin College
languagesEnglish, Chinese, Chinese
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Github Skills (43)

wunderlist9
to-do8
deconvolution7
region7
prerendering7
linux7
gpu7
deep-learning6
katex6
latex6
sparse6
pytorch6
trust5
nodejs5
gnome5

Programming languages (7)

TypeScriptJuliaCSSJavaScriptLuaJupyter NotebookPython

Github contributions (5)

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deconvlab/sbd-rtrm

Jan 2017 - Mar 2018

Contributions:15 commits, 1 PR, 44 pushes in 1 year 1 month
trust-regionblinddeconvolutionmethodsparse
Contributions:39 commits, 19 pushes, 1 branch in 1 month
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