Ed Wagstaff
Machine Learning Researcher
edwardwagstaff@gmail.com
Education
University of Oxford
PhD, EPSRC Centre for Doctoral Training in Autonomous Intelligent Machines and Systems
2016 - 2021
University of Oxford
MSc Mathematics and the Foundations of Computer Science
2010 - 2011
University of Cambridge
BA Mathematics (First class)
2007 - 2010
Experience
Softwire
Lead Consultant
July - October 2021
Provided technical guidance and architecture design for a team of Python developers implementing a financial model for a management consulting firm, while also contributing directly to the codebase.
NASA Frontier Development Lab
Machine Learning Researcher
June - August 2019
Joined a multidisciplinary team researching disturbances to satellite communications caused by activity in the upper atmosphere. Contributed heavily to the project’s experimental code, largely writing Python using Tensorflow. The output of this project was presented at the ML4PS Workshop at NeurIPS 2019.
Worldpay
Software Engineering Contractor
2016
Worked as an independent contractor, as part of a team supporting a Java-based payment processing system.
Softwire
Software Engineer
2012 - 2015
Wrote software for a variety of clients, working in a number of different business domains using a range of technologies. Programming languages used included Python, Java, Ruby, C# and JavaScript.
Publications
Edward Wagstaff, Fabian Fuchs, Martin Engelcke, Ingmar Posner, Michael A. Osborne, "Universal Approximation of Functions on Sets"
arXiv preprint
Fabian Fuchs*, Edward Wagstaff*, Justas Dauparas, Ingmar Posner, "Iterative SE(3)-Transformers"
Geometric Science of Information 2021
Edward Wagstaff*, Fabian Fuchs*, Martin Engelcke*, Ingmar Posner, Michael A. Osborne, "On the Limitations of Representing Functions on Sets"
ICML 2019
Kara Lamb*, Garima Malhotra*, Athanasios Vlontzos*, Edward Wagstaff*, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt, "Correlation of Auroral Dynamics and GNSS Scintillation with an Autoencoder"
NeurIPS ML4PS Workshop 2019
Kara Lamb*, Garima Malhotra*, Athanasios Vlontzos*, Edward Wagstaff*, Atılım Günes Baydin, Anahita Bhiwandiwalla, Yarin Gal, Alfredo Kalaitzis, Anthony Reina, Asti Bhatt, "Prediction of GNSS Phase Scintillations: A Machine Learning Approach"
NeurIPS ML4PS Workshop 2019