David Landsman is a Senior ML Scientist with 13 years of experience specializing in Large Language Models, graph machine learning, and privacy-focused ML solutions across health and financial services. With an MS in Applied Computing from the University of Toronto and a track record at Vanguard from research intern to senior scientist, he blends rigorous research skills with production-oriented engineering. His strengths span NLP, representation learning, and statistics, applied to regulated domains where data governance and security are paramount. David’s background includes academic partnerships at the Vector Institute and translational research roles in hospitals and urban science, giving him a rare mix of clinical, civic, and financial domain experience. He is comfortable moving models from prototype to production and often designs solutions that balance performance with privacy-preserving constraints.
13 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Computer Science, Master of Science - MS, Computer Science at University of Toronto
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