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.
10 years of coding experience
8 years of employment as a software developer
Bachelor 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
Master of Philosophy - MPhil Electrical Engineering, Master of Philosophy - MPhil Electrical Engineering at Columbia University
IB Diploma HL Mathematics Physics and Chemistry, IB Diploma HL Mathematics Physics and Chemistry at Shatin College
Contributions:15 commits, 1 PR, 44 pushes in 1 year 1 month
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Yenson Lau - Senior Applied Scientist at Qualtrics