Wolfram Computation Meets Knowledge

Wolfram Science Winter School

January 2–12, 2024


Richard Assar

Class of 2022

Richard studied Artificial Intelligence at the University of Edinburgh School of Informatics. He went on to work as a neuroscience researcher and later worked in the games industry on multiple AAA titles. His earliest memories are of when he and his father would program games on the BBC Micro and later when he was shown some iterated-function systems - sparking a life long journey of investigation into mathematics, physics and computer science. His main interests are in parallel computing, program synthesis, formal verification, automated theorem proving and discovery, reversible computing, deep learning and high performance GPU computing. He is currently working on an efficient deep neural network based piano synthesiser, a VR-focused games engine and computational research platform.

Project: Modeling spin network interactions via branchial graphs