Jeffrey Wiens is a Lead ML Scientist with 12 years of experience blending applied machine learning, industrial mathematics, and software engineering to deliver production-grade AI systems. He has led end-to-end projects across industries—from satellite imagery and remote sensing at MDA to novel Raman spectroscopy analytics at Miraterra—bridging classical signal processing with deep learning and agentic systems. His academic foundation (PhD in Applied Mathematics) informs strengths in computational physics, differential equations, fluid–structure interaction, and high-performance computing, enabling principled solutions to complex physical and data-driven problems. Jeffrey is equally comfortable defining technical roadmaps and architecting platforms as he is implementing models and building large, curated datasets for production. Based in Surrey, BC, he brings a rare mix of theoretical depth and hands-on systems delivery that accelerates multidisciplinary teams. An often-overlooked asset: he consistently translates advanced mathematical concepts into robust, deployable software.
12 years of coding experience
15 years of employment as a software developer
Bachelor of Science Combined Degree in Physics and Computer Science, Bachelor of Science Combined Degree in Physics and Computer Science at University of Victoria
PhD Applied Mathematics, PhD Applied Mathematics at Simon Fraser University
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
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Jeffrey Wiens - Lead ML Scientist at Electronic Arts (EA)