Principal Machine Learning Engineer
PhysicsX
London, England, United Kingdom
Dan is a principal machine learning engineer at PhysicsX, where he leads cross-functional teams of data scientists and simulation engineers to deploy bleeding edge deep learning methodologies to engineering problems. Dan has worked across renewables, automotive and semiconductors. Prior to PhysicsX Dan was a senior data engineer at McKinsey’s artificial intelligence centre of excellence QuantumBlack, where he developed and deployed machine learning and advanced analytics solutions. Dan holds a masters of engineering in Aeronautics and Astronautics from the University of Southampton.
Transforming Semiconductor Manufacturing with Physics-Based AI and Predictive Optimization
Wednesday, October 8, 2025
11:55am - 12:15pm MT