Summary
James Townend is a senior lead machine learning scientist based in Greater Vancouver with over a decade of experience building production AI systems grounded in physics and geoscience. He has progressed from physicist and geophysicist roles into senior ML and data science leadership at OneSix, Sparkgeo, and Deloitte, shipping applied models for earth-science and commercial clients. His background combines MSci Physics, an MSc in Exploration Geophysics, postgraduate earth-science research, and business training from Berkeley Haas, allowing him to bridge domain science, modeling rigor, and product delivery. Comfortable moving models from research to production, he focuses on practical, scalable ML solutions informed by physical intuition rather than black-box approaches. Colleagues rely on him to lead cross-functional teams and translate complex geophysical problems into deployable ML systems. An uncommon strength is his deep domain fusion—melding physics-first thinking with modern ML—to unlock insights in resource and environmental applications.
8 years of coding experience
7 years of employment as a software developer
MSci Physics, MSci Physics at Durham University
MSc Exploration Geophysics, MSc Exploration Geophysics at University of Leeds
Postgraduate Research Earth Science, Postgraduate Research Earth Science at University of Northern British Columbia (UNBC)
Innovation and Change Management, Innovation and Change Management at University of California, Berkeley, Haas School of Business
English, Danish, Spanish