Prior to Sandtable Leighton completed a PhD in Molecular Genetics where he worked on mathematical models of gene ecology that explored how mobile genetic elements drive genome evolution in bacteria. Prior to that, he was a software engineer at an investment bank and at an international research institute.
Like human systems, biological systems are discrete, noisy, and stochastic. Leighton has enjoyed bringing methods developed in systems biology and epidemiology to problems at Sandtable. While at Sandtable he has worked on: 1. statistical models of human choice that understand “habit”. 2. Formalising aspects of our agent based models so they are tractable to mathematical analysis. 3. A GPU accelerated framework that extends our simulations to millions of agents. 4. Working with a London-based startup using concepts from network analysis and epidemiology to help them grow. He is passionate about modelling complex dynamical systems and the use of inference methods to understand underlying dynamics.
He is a keen sports person and enjoys tennis, rugby, surfing and tramping.