Jeremy Lane is a Senior Applied Scientist in New York with 11 years of experience building foundation models and shipping flagship AI agent systems at Amazon. He blends deep mathematical training (PhD in Mathematics) and postdoctoral research in geometry and mathematical physics with hands-on ML engineering to deliver production agent architectures, monitoring, and multiturn evaluation pipelines for advertiser-facing products. Jeremy has led science teams that translated novel research into scalable ad targeting, measurement, and planning systems, and he continues to drive model and systems delivery as a core contributor on foundation-model efforts. Comfortable moving between abstract math and practical engineering, he has a track record of publishing research, organizing international workshops, and mentoring students who have gone on to publish.
11 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy - PhD, Mathematics, Doctor of Philosophy - PhD, Mathematics at University of Toronto
Bachelor of Science Honours, with High Honours in Mathematics - BSc, Mathematics, Bachelor of Science Honours, with High Honours in Mathematics - BSc, Mathematics at University of Regina
Contributions:45 pushes, 1 branch in 4 years 1 month
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