Laurence Cullen

Previously: Fetch.ai, Sensity, ARM.

Laurence is a machine learning engineer of 6 years who is skilled at rapid prototyping and has taken two startups to seed as a first and second employee. Whilst at Sensity, he led the development of one of the world’s first deepfake detection products from scratch, defining and implementing features in consultation with customers from Reuters and The Guardian. His technical expertise includes computer vision, NLP and full-stack web development.

Dr. Michael Negus

Previously: University of Oxford, Diamond.

Michael holds a PhD in Applied Mathematics from the University of Oxford. His expertise lies at the interface between mathematics, physics and scientific computing, and in applying recent advances in machine learning to accelerate existing simulation methods.