Matthew has over 12 years of experience building innovative data technologies and successfully applying them to a wide range of industries. Some of his most impressive contributions include a Machine Learning project for the Pentagon to assess the financial integrity of international markets, a distributed algorithm for Pandora to analyze approximately one percent of the US internet traffic, and telemetry frameworks for the autonomous driving industry used by data scientists on Stanford’s driverless car, a Delorean named Marty.
In addition to his technical expertise, Matthew’s business and industry insights have landed him roles such as rearchitecting software systems for cost reduction and as a technical advisor on multiple acquisitions.
B.Sc. in Astronomy
University of British Columbia