Edward Wagstaff
Machine Learning Scientist at Prescient Design
Zurich, Zurich, Switzerland
Summary
👤
Senior🎓
Top SchoolEdward Wagstaff is a Machine Learning Scientist and Oxford PhD candidate with 11 years of industry experience, combining rigorous academic research under Mike Osborne with practical engineering chops from multi-year software roles. Based in Zurich, he moves fluidly between research and product-facing ML, currently applying probabilistic and scalable techniques at Prescient Design after an applied research stint at NASA Frontier Development Lab. His background in mathematics (Cambridge) and maths+CS (Oxford) informs a strong analytical approach to model development and uncertainty quantification, while his earlier software engineering roles at Softwire and Worldpay mean he understands production constraints. Notably, he blends formal research rigor with hands-on delivery experience, making him effective at translating cutting-edge ML into deployable systems.
11 years of coding experience
4 years of employment as a software developer
Master’s Degree, Mathematics and Computer Science, Master’s Degree, Mathematics and Computer Science at University of OxfordBachelor's degree, Mathematics, First, Bachelor's degree, Mathematics, First at University of Cambridge
Github Skills (49)
plm10
protein-sequences9
biology9
geometric-deep-learning9
pytorch9
kotlin9
graph9
deep-learning9
keras9
graph-neural-network9
graph-convolutional-networks9
gatling9
hyperparameter-tuning9
collaboration8
load-testing8
Programming languages (5)
Github contributions (5)
OxfordML/bayesquad
Sep 2018 - Mar 2019
Contributions:69 commits, 4 pushes, 1 branch in 6 months
edwag/Millions
Jun 2015 - Mar 2020
Contributions:1 push, 1 branch in 4 years 9 months
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